Triple
T13417601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pac-12 softball |
E313252
|
entity |
| Predicate | formerlyHadNumberOfTeams |
P13543
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Pac-12 softball, formerlyHadNumberOfTeams, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyHadNumberOfTeams Context triple: [Pac-12 softball, formerlyHadNumberOfTeams, 12]
-
A.
hasFormerTeam
Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
-
B.
formerNumberOfTeams
chosen
Indicates the number of teams that an entity previously had before a change or reorganization.
-
C.
memberTeamAtVariousTimes
Indicates that an entity has been a member of a particular team during one or more distinct time periods.
-
D.
formerLeagueTeam
Indicates that an entity was previously a member team of a particular sports league but is no longer part of that league.
-
E.
formerTeam2Name
Indicates that an entity was previously associated with a second former team identified by this name.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:39 p.m.