Triple
T1440641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League men's basketball |
E31061
|
entity |
| Predicate | conferenceGamesPerTeam |
P29343
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Ivy League men's basketball, conferenceGamesPerTeam, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceGamesPerTeam Context triple: [Ivy League men's basketball, conferenceGamesPerTeam, 14]
-
A.
regularSeasonGamesPerTeam
Indicates the number of games each team plays during the regular season.
-
B.
divisionGamesPerSeasonBetweenTeams
Indicates the number of games played per season between two teams within the same division.
-
C.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
D.
teamsPerConference
Indicates the number of teams that are associated with or belong to a given conference.
-
E.
divisionGamesPerSeason
Indicates the number of games played in a particular division during a single season.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.