Triple
T11471450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WV postcode area |
E271917
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object |
Wednesfield
Wednesfield is a suburban town and historic village within the city of Wolverhampton in the West Midlands, England.
|
E927319
|
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: Wednesfield | Statement: [WV postcode area, postTown, Wednesfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wednesfield Context triple: [WV postcode area, postTown, Wednesfield]
-
A.
Wednesbury
Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
-
B.
Wellesbourne
Wellesbourne is a large English village in Warwickshire, known for its historic airfield and proximity to Stratford-upon-Avon.
-
C.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
D.
Martley
Martley is a rural village and civil parish in Worcestershire, England, known for its scenic countryside, historic church, and location within the Malvern Hills area.
-
E.
Brierley Hill
Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
- 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: Wednesfield Triple: [WV postcode area, postTown, Wednesfield]
Generated description
Wednesfield is a suburban town and historic village within the city of Wolverhampton in the West Midlands, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wednesfield Target entity description: Wednesfield is a suburban town and historic village within the city of Wolverhampton in the West Midlands, England.
-
A.
Wednesbury
Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
-
B.
Wellesbourne
Wellesbourne is a large English village in Warwickshire, known for its historic airfield and proximity to Stratford-upon-Avon.
-
C.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
D.
Martley
Martley is a rural village and civil parish in Worcestershire, England, known for its scenic countryside, historic church, and location within the Malvern Hills area.
-
E.
Brierley Hill
Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
- 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_69e5e94ea4748190b375e644b2f1a46c |
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.