Triple
T6002510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 NCAA men's basketball championship |
E133629
|
entity |
| Predicate | KansasHalftimeDeficit |
P11635
|
FINISHED |
| Object | 9 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: 9 points | Statement: [2008 NCAA men's basketball championship, KansasHalftimeDeficit, 9 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KansasHalftimeDeficit Context triple: [2008 NCAA men's basketball championship, KansasHalftimeDeficit, 9 points]
-
A.
halftimeScore
chosen
Indicates the score or result of a game or match at the halfway point (halftime).
-
B.
ChiefsPointsSecondHalf
Indicates the number of points the Chiefs scored during the second half of a game.
-
C.
halftimeShow
Indicates a performance or entertainment event that takes place during the intermission between two halves of a game or match.
-
D.
halfTimeBreakDuration
Indicates the length of time allocated for the break between the two halves of an event or activity.
-
E.
halftimeProducer
Indicates that one entity is the producer responsible for creating or organizing the halftime segment of an event, such as a sports game or show.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee9cb0c8190a3361c36ac3944af |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.