Triple
T1052340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair W |
E22726
|
entity |
| Predicate | occupantType |
P21916
|
FINISHED |
| Object | individual academic |
—
|
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: individual academic | Statement: [Chair W, occupantType, individual academic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupantType Context triple: [Chair W, occupantType, individual academic]
-
A.
fieldOfOccupant
chosen
Indicates the specific professional or academic field in which an occupant is engaged or associated.
-
B.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
C.
hasPrimaryOccupants
Indicates that certain entities are the main or principal occupants of another entity (such as a space, structure, or location).
-
D.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
E.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b644088190a1f0f00f97941298 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.