Triple
T36917070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Tech vs Michigan State |
E913071
|
entity |
| Predicate | TexasTechFieldGoalPercentage |
P187623
|
FINISHED |
| Object | 38.6% |
—
|
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: 38.6% | Statement: [Texas Tech vs Michigan State, TexasTechFieldGoalPercentage, 38.6%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TexasTechFieldGoalPercentage Context triple: [Texas Tech vs Michigan State, TexasTechFieldGoalPercentage, 38.6%]
-
A.
ABAFieldGoalPercentageLeader
Indicates the player who led the ABA in field goal percentage for a given season or time period.
-
B.
TexasTechCoach
Indicates that one entity serves as a coach for the Texas Tech athletic program.
-
C.
criterionFieldGoalPercentageUnit
Indicates the unit of measurement used to express a field goal percentage criterion in a given context.
-
D.
criterionFieldGoalPercentageMinimum
Indicates that there is a specified minimum acceptable value for a field goal percentage used as a selection or filtering criterion.
-
E.
MVPFieldGoalPercentage
Indicates the percentage of successful field goals made by a Most Valuable Player (MVP) candidate or recipient relative to their total field goal attempts.
- F. None of above. chosen
Provenance (4 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 3, 2026, 4:13 p.m.