Triple
T10659983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 NCAA Women’s Final Four |
E251196
|
entity |
| Predicate | numberOfChampionshipGames |
P25322
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2019 NCAA Women’s Final Four, numberOfChampionshipGames, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChampionshipGames Context triple: [2019 NCAA Women’s Final Four, numberOfChampionshipGames, 1]
-
A.
hasChampionshipGames
Indicates that an entity includes, hosts, or is associated with one or more championship-level games or matches.
-
B.
playsChampionshipGame
Indicates that an entity participates as a competitor in a championship-level game or match.
-
C.
gamesStartedInChampionships
Indicates the number of games in championship competitions that an entity (typically a player) has started.
-
D.
numberOfGamesInFinals
chosen
Indicates the total count of games played in the finals stage of a competition or series.
-
E.
championshipGame
Indicates a game that determines the overall champion or winner of a competition or tournament.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0174dc4819093e577993c65ed32 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:07 p.m.