Triple
T5842663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Hospital Boards |
E129629
|
entity |
| Predicate | numberOfSubordinateBodies |
P5741
|
FINISHED |
| Object | multiple Hospital Management Committees |
—
|
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: multiple Hospital Management Committees | Statement: [Regional Hospital Boards, numberOfSubordinateBodies, multiple Hospital Management Committees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubordinateBodies Context triple: [Regional Hospital Boards, numberOfSubordinateBodies, multiple Hospital Management Committees]
-
A.
hasNumberOfKnownMoons
Indicates the relationship that specifies how many moons are known to orbit a given celestial body.
-
B.
numberOfMoons
Indicates the quantity of moons that an astronomical body possesses.
-
C.
hasCentralBodyRole
Indicates that an entity serves as the primary or central functional component within a larger body or system.
-
D.
numberOfConstituents
chosen
Indicates the total count of individual components or members that make up a larger whole or group.
-
E.
numberOfKnownMoons
Indicates the count of moons that are currently known to orbit a given celestial body.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.