Triple
T22815066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ART Area |
E565075
|
entity |
| Predicate | hasAreaDirector |
P110988
|
FINISHED |
| Object | ART Area Director |
—
|
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: ART Area Director | Statement: [ART Area, hasAreaDirector, ART Area Director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaDirector Context triple: [ART Area, hasAreaDirector, ART Area Director]
-
A.
hasAreaDirectors
chosen
Indicates that an entity is associated with one or more area directors responsible for overseeing specific regions or domains.
-
B.
oversawArea
Indicates that one entity had supervisory or managerial responsibility over a particular area, region, or domain associated with another entity.
-
C.
hasManagementArea
Indicates that one entity is responsible for managing, overseeing, or administering a specified area or region.
-
D.
hasAreaNumber
Indicates that an entity is associated with a specific area identified by a numerical code.
-
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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcb872881909a031d8560635fce |
completed | April 29, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.