Triple
T33451671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Carpenters |
E856657
|
entity |
| Predicate | hallCity |
P150859
|
FINISHED |
| Object | London |
—
|
NE NERFINISHED |
How this triple was built (2 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: London | Statement: [Worshipful Company of Carpenters, hallCity, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallCity Context triple: [Worshipful Company of Carpenters, hallCity, London]
-
A.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
B.
clubCity
Indicates that a club is based in or associated with a particular city.
-
C.
hostTown
Indicates that one entity is the town or municipality that hosts, contains, or serves as the location for the other entity.
-
D.
hadCity
Indicates that an entity was formerly associated with or located in a particular city.
-
E.
homeCityOf
chosen
Indicates that a particular city is the primary place of residence or origin for a given person or organization.
- F. None of above.
Provenance (3 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4ac9b08819080f2e72323e38882 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.