Triple
T38004154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Crimson Tide softball |
E948185
|
entity |
| Predicate | conferenceRegularSeasonTitleCount |
P33724
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Alabama Crimson Tide softball, conferenceRegularSeasonTitleCount, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceRegularSeasonTitleCount Context triple: [Alabama Crimson Tide softball, conferenceRegularSeasonTitleCount, multiple]
-
A.
conferenceRegularSeasonChampionships
chosen
Indicates the number of times an entity has won its conference’s regular-season championship.
-
B.
regularSeasonTitle
Indicates that a team or competitor won the championship or top standing for the regular season portion of a competition or league.
-
C.
conferenceRegularSeasonChampionship
Indicates that a team has won the conference’s regular-season championship in a given sport or league.
-
D.
conferenceTitleCount
Indicates the number of distinct conference titles associated with a given entity or context.
-
E.
numberOfSeriesPerConference
Indicates the total count of series associated with or occurring within a given conference.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:20 p.m.