Triple
T11634641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Rookie of the Month awards |
E276484
|
entity |
| Predicate | numberOfWinnersPerMonth |
P6983
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [NBA Rookie of the Month awards, numberOfWinnersPerMonth, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWinnersPerMonth Context triple: [NBA Rookie of the Month awards, numberOfWinnersPerMonth, 2]
-
A.
numberOfWinnersPerSeason
Indicates the relationship that specifies how many winners are associated with each individual season.
-
B.
winnerCount
chosen
Indicates the number of entities that are designated as winners in a given context or event.
-
C.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
D.
monthPlayed
Indicates the month during which an activity, event, or game was played or took place.
-
E.
hasMonthCount
Indicates a relationship where an entity is associated with a specific number of months.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25c0b00819095898d2b2445ecfb |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.