Triple
T37373097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naismith Starting Five |
E927893
|
entity |
| Predicate | numberOfPositionsRecognized |
P1029
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Naismith Starting Five, numberOfPositionsRecognized, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPositionsRecognized Context triple: [Naismith Starting Five, numberOfPositionsRecognized, 5]
-
A.
recognizedPositions
Indicates that certain positions, roles, or locations have been formally identified, acknowledged, or accepted within a given context.
-
B.
numberOfPositions
chosen
Indicates the total count of distinct positions or roles associated with a given entity.
-
C.
positionRecognized
Indicates that an entity’s role, status, or spatial position has been formally acknowledged or accepted by another entity or system.
-
D.
statisticRecognized
Indicates that a particular statistic has been formally identified, acknowledged, or recorded as valid or relevant within a given context.
-
E.
resultRecognizedBy
Indicates that a particular result is formally acknowledged, validated, or accepted by a specified recognizing 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.