Triple
T3904306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greatest Show on Turf offense |
E90567
|
entity |
| Predicate | seasonPointsRecordValue |
P18045
|
FINISHED |
| Object | 526 points |
—
|
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: 526 points | Statement: [Greatest Show on Turf offense, seasonPointsRecordValue, 526 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonPointsRecordValue Context triple: [Greatest Show on Turf offense, seasonPointsRecordValue, 526 points]
-
A.
bestSeasonRecord
Indicates that one entity holds the best (most successful) season performance record among a set of entities, typically in a competitive or statistical context.
-
B.
topScorerPoints
chosen
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
C.
runnerUpRegularSeasonRecord
Indicates the regular season performance record (such as wins and losses) of the team that finished as runner-up.
-
D.
bestRegularSeasonRecord
Indicates that an entity (typically a team) achieved the highest overall performance record during the regular season compared to all others in the same competition.
-
E.
heldNBAAllTimeScoringRecordUntil
Indicates that one entity was the NBA’s all-time leading scorer up to a certain time, after which another entity surpassed that record.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.