Triple
T24676978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merchant Taylors' Company |
E611013
|
entity |
| Predicate | hasAssociatedSchool |
P113
|
FINISHED |
| Object | St John's School, Leatherhead |
—
|
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: St John's School, Leatherhead | Statement: [Merchant Taylors' Company, hasAssociatedSchool, St John's School, Leatherhead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedSchool Context triple: [Merchant Taylors' Company, hasAssociatedSchool, St John's School, Leatherhead]
-
A.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
B.
hasAffiliatedSchoolsIn
Indicates that an entity maintains formal affiliations or partnerships with schools located in a specified place or region.
-
C.
hasAssociatedSchoolNetwork
Indicates that an entity is linked to or belongs to a particular school network or group of affiliated schools.
-
D.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
E.
hasSchool
chosen
Indicates that an entity possesses, is associated with, or is served by a particular school.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:06 a.m.