Triple
T793199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women’s basketball |
E16959
|
entity |
| Predicate | postseasonPeriod |
P19201
|
FINISHED |
| Object | March |
—
|
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: March | Statement: [NCAA women’s basketball, postseasonPeriod, March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postseasonPeriod Context triple: [NCAA women’s basketball, postseasonPeriod, March]
-
A.
postseasonType
Indicates the specific kind of postseason competition or phase associated with an event or team.
-
B.
postseasonGamesPlayed
Indicates the number of games an entity has participated in during postseason or playoff competition.
-
C.
isPostseasonGame
Indicates that the game takes place during a postseason or playoff phase rather than the regular season.
-
D.
includesPostseasonIn
Indicates that a time period, schedule, or dataset explicitly encompasses postseason games or events in addition to the regular season.
-
E.
postseasonHits
Indicates that one entity recorded a certain number of hits during postseason (playoff) games in a sport.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79a3bbc81908d818c50a366b0f8 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5edd0248190bd0240e5b3e67c71 |
completed | March 1, 2026, 8:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.