Triple
T3548773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Utes women's gymnastics |
E75059
|
entity |
| Predicate | nationalTeamTitles |
P50514
|
FINISHED |
| Object | multiple NCAA team championships |
—
|
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 NCAA team championships | Statement: [Utah Utes women's gymnastics, nationalTeamTitles, multiple NCAA team championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTeamTitles Context triple: [Utah Utes women's gymnastics, nationalTeamTitles, multiple NCAA team championships]
-
A.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
B.
nationalTeamYears
Indicates the span of years during which an entity was active as a member of a national team.
-
C.
mostDivisionTitlesTeam
Indicates that the subject team holds the record for having won the greatest number of division titles compared to all other teams.
-
D.
nationalTeamSystem
Indicates a relationship where an entity is part of, governed by, or operates within a specific national team structure or organizational system.
-
E.
WorldCupOverallTitles
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd278348190ad2fa54f4a423541 |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:20 p.m.