Triple
T18465552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pembroke College Chapel Choir |
E451147
|
entity |
| Predicate | hasRecruitmentArea |
P9002
|
FINISHED |
| Object | students of Pembroke College |
—
|
LITERAL FINISHED |
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: students of Pembroke College | Statement: [Pembroke College Chapel Choir, hasRecruitmentArea, students of Pembroke College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecruitmentArea Context triple: [Pembroke College Chapel Choir, hasRecruitmentArea, students of Pembroke College]
-
A.
hasRecruitType
Indicates that an entity is associated with a specific type or category of recruitment.
-
B.
hasCatchmentArea
Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
-
C.
recruitmentLocation
chosen
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
D.
eligibilityArea
Indicates that a specified geographic or conceptual area defines where something (such as a person, item, or activity) is eligible or permitted.
-
E.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a83a27c8190aafb82f615c2dd72 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:34 a.m.