Triple
T8999041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research Councils UK |
E214995
|
entity |
| Predicate | numberOfCouncilsCoordinated |
P85601
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Research Councils UK, numberOfCouncilsCoordinated, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCouncilsCoordinated Context triple: [Research Councils UK, numberOfCouncilsCoordinated, 7]
-
A.
numberOfRegionalCouncils
Indicates the total count of regional councils associated with a given entity.
-
B.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
C.
numberOfAreaCouncils
Indicates the total count of area councils associated with a given entity.
-
D.
associatedWithCouncil
Indicates that an entity has a formal or recognized connection, involvement, or affiliation with a council.
-
E.
hasCountyCouncil
Indicates that an entity is administratively governed or overseen by a specific county council.
- F. None of above. chosen
Provenance (4 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e23734819083a98f4ff0942479 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.