Triple
T11471651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Peter’s Collegiate Church, Wolverhampton |
E271921
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Wolverhampton city centre shopping area
Wolverhampton city centre shopping area is the main commercial hub of Wolverhampton, featuring a mix of high-street retailers, shopping centres, and pedestrianised streets close to key historic landmarks.
|
E927343
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wolverhampton city centre shopping area | Statement: [St Peter’s Collegiate Church, Wolverhampton, near, Wolverhampton city centre shopping area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolverhampton city centre shopping area Context triple: [St Peter’s Collegiate Church, Wolverhampton, near, Wolverhampton city centre shopping area]
-
A.
Oxford city centre shopping area
Oxford city centre shopping area is the main commercial district of Oxford, England, featuring a mix of high-street shops, historic streets, and pedestrianized zones that attract both locals and tourists.
-
B.
Birmingham city centre
Birmingham city centre is the main commercial, retail, and cultural hub of Birmingham, England, known for its shopping districts, business quarters, and major transport links.
-
C.
Arndale Centre area
The Arndale Centre area is a major shopping and commercial district in central Manchester, England, known for its large indoor mall and surrounding retail streets.
-
D.
Birmingham city centre markets
Birmingham city centre markets are a historic cluster of indoor and outdoor markets in central Birmingham, England, known for their diverse fresh produce, textiles, and multicultural street trading.
-
E.
Leeds city centre retail area
The Leeds city centre retail area is the main commercial heart of Leeds, featuring a dense concentration of shops, markets, and shopping centres that make it one of the largest and busiest retail districts in the UK.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wolverhampton city centre shopping area Triple: [St Peter’s Collegiate Church, Wolverhampton, near, Wolverhampton city centre shopping area]
Generated description
Wolverhampton city centre shopping area is the main commercial hub of Wolverhampton, featuring a mix of high-street retailers, shopping centres, and pedestrianised streets close to key historic landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolverhampton city centre shopping area Target entity description: Wolverhampton city centre shopping area is the main commercial hub of Wolverhampton, featuring a mix of high-street retailers, shopping centres, and pedestrianised streets close to key historic landmarks.
-
A.
Oxford city centre shopping area
Oxford city centre shopping area is the main commercial district of Oxford, England, featuring a mix of high-street shops, historic streets, and pedestrianized zones that attract both locals and tourists.
-
B.
Birmingham city centre
Birmingham city centre is the main commercial, retail, and cultural hub of Birmingham, England, known for its shopping districts, business quarters, and major transport links.
-
C.
Arndale Centre area
The Arndale Centre area is a major shopping and commercial district in central Manchester, England, known for its large indoor mall and surrounding retail streets.
-
D.
Birmingham city centre markets
Birmingham city centre markets are a historic cluster of indoor and outdoor markets in central Birmingham, England, known for their diverse fresh produce, textiles, and multicultural street trading.
-
E.
Leeds city centre retail area
The Leeds city centre retail area is the main commercial heart of Leeds, featuring a dense concentration of shops, markets, and shopping centres that make it one of the largest and busiest retail districts in the UK.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e95a479c81909a330c9721bd3902 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.