Triple
T38520769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ardsley |
E922466
|
entity |
| Predicate | hasCoopStatus |
P191530
|
FINISHED |
| Object | cooperative |
—
|
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: cooperative | Statement: [The Ardsley, hasCoopStatus, cooperative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoopStatus Context triple: [The Ardsley, hasCoopStatus, cooperative]
-
A.
cooperStatus
chosen
Indicates the current state or condition of cooperation or collaborative engagement between the related entities.
-
B.
hasCoopMode
Indicates that something supports or includes a cooperative mode of operation or gameplay involving multiple participants working together.
-
C.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
-
D.
hasCoopPrograms
Indicates that an entity offers or participates in cooperative education programs in partnership with other organizations or institutions.
-
E.
hasCoOwner
Indicates that an entity shares ownership of something with one or more other entities.
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.