Triple
T2094349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leatherhead |
E32744
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object |
Swan Centre
Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
|
E234806
|
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: Swan Centre | Statement: [Leatherhead, hasShoppingCentre, Swan Centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swan Centre Context triple: [Leatherhead, hasShoppingCentre, Swan Centre]
-
A.
Runnymede Civic Centre
Runnymede Civic Centre is a key municipal building in Addlestone that houses local government offices and community services for the Borough of Runnymede.
-
B.
Banbury Center
Banbury Center is a renowned conference and retreat facility at Cold Spring Harbor Laboratory that hosts small, high-level scientific meetings and workshops.
-
C.
Greenoaks Centre
Greenoaks Centre is a retail shopping complex located in the town of Widnes in Cheshire, England.
-
D.
York Centre
York Centre is a federal electoral district in Toronto, Ontario, known for its diverse, largely urban population and long-standing Liberal Party representation.
-
E.
Granta Park
Granta Park is a major science and business park in the Cambridge area, known for hosting high-tech and biotech companies within the broader Silicon Fen cluster.
- 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: Swan Centre Triple: [Leatherhead, hasShoppingCentre, Swan Centre]
Generated description
Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swan Centre Target entity description: Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
-
A.
Runnymede Civic Centre
Runnymede Civic Centre is a key municipal building in Addlestone that houses local government offices and community services for the Borough of Runnymede.
-
B.
Banbury Center
Banbury Center is a renowned conference and retreat facility at Cold Spring Harbor Laboratory that hosts small, high-level scientific meetings and workshops.
-
C.
Greenoaks Centre
Greenoaks Centre is a retail shopping complex located in the town of Widnes in Cheshire, England.
-
D.
York Centre
York Centre is a federal electoral district in Toronto, Ontario, known for its diverse, largely urban population and long-standing Liberal Party representation.
-
E.
Granta Park
Granta Park is a major science and business park in the Cambridge area, known for hosting high-tech and biotech companies within the broader Silicon Fen cluster.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba98c32081908a243bc7088a1510 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae305cb77c819085c4f3eb2223f749 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f6b7c4819080cb7cb7adc1f6d3 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31871d408190a4ae64372660fa79 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.