Triple
T30757197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 NCAA Division I men's basketball tournament |
E783119
|
entity |
| Predicate | numberOfFirstFourGames |
P202597
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2014 NCAA Division I men's basketball tournament, numberOfFirstFourGames, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFirstFourGames Context triple: [2014 NCAA Division I men's basketball tournament, numberOfFirstFourGames, 4]
-
A.
homeTeamForGames3And4
Indicates which team serves as the home team in both games 3 and 4 of a series or schedule.
-
B.
firstGamePlayed
Indicates the specific game that an entity participated in before any other, marking the earliest game in which it played.
-
C.
firstFourFormat
Indicates that the first four characters of a value follow or match a specified format or pattern.
-
D.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
-
E.
FirstFourState
Indicates that an entity is one of the first four states (e.g., in an ordered list, sequence, or ranking) within a specified context.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
| PDg | Predicate description generation | batch_6a009f52ef9c8190be0e8ea2e2cd484f |
completed | May 10, 2026, 3:08 p.m. |
Created at: April 29, 2026, 8:39 p.m.