Triple
T16309289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara Stadium Authority |
E396005
|
entity |
| Predicate | boardComposedOf |
P68913
|
FINISHED |
| Object | members of Santa Clara City Council |
—
|
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: members of Santa Clara City Council | Statement: [Santa Clara Stadium Authority, boardComposedOf, members of Santa Clara City Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardComposedOf Context triple: [Santa Clara Stadium Authority, boardComposedOf, members of Santa Clara City Council]
-
A.
hasBoardComposition
chosen
Indicates that an entity has a specific structure or makeup of its governing board, such as the types or proportions of members who serve on it.
-
B.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
C.
boardProperties
Indicates a relationship where specific attributes or characteristics are assigned to or associated with a board.
-
D.
usesBoardShape
Indicates that one entity employs or is designed to work with a particular board shape as part of its function or configuration.
-
E.
formOfIndividualPieces
Indicates that one entity represents the specific shapes, configurations, or structural forms taken by the individual pieces that compose another 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d9557c81909203cd47aebf0f44 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.