Triple
T34031380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Founders |
E872660
|
entity |
| Predicate | hasHallLocation |
P67485
|
FINISHED |
| Object |
Cloth Fair, London
Cloth Fair, London is a historic street and area in the City of London near Smithfield, known for its medieval origins and surviving pre-Great Fire buildings.
|
E2079197
|
NE FINISHED |
How this triple was built (3 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: Cloth Fair, London | Statement: [Worshipful Company of Founders, hasHallLocation, Cloth Fair, London]
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: Cloth Fair, London Triple: [Worshipful Company of Founders, hasHallLocation, Cloth Fair, London]
Generated description
Cloth Fair, London is a historic street and area in the City of London near Smithfield, known for its medieval origins and surviving pre-Great Fire buildings.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHallLocation Context triple: [Worshipful Company of Founders, hasHallLocation, Cloth Fair, London]
-
A.
hallLocatedAt
chosen
Indicates that a hall is situated at or within a specific location or address.
-
B.
hallLocatedNear
Indicates that a hall is situated close to another specified place or entity in physical space.
-
C.
hasOfferingsHall
Indicates that an entity includes or is associated with a hall or space designated for offerings.
-
D.
hasHallFunction
Indicates that an entity serves as or includes a hall used for gatherings, events, or similar functions.
-
E.
hasGrandHall
Indicates that an entity possesses or includes a grand hall as part of its structure or facilities.
- F. None of above.
Provenance (6 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36a0304cfc819089a36ce14006bfa8 |
completed | June 20, 2026, 2:14 p.m. |
| NEDg | Description generation | batch_6a36a0de350081909525a0c212057a65 |
completed | June 20, 2026, 2:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36a185fad881909585edc7f5d5c177 |
completed | June 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:51 a.m.