Triple
T11302639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II Outdoor Track and Field Championships |
E267632
|
entity |
| Predicate | teamTitleBasis |
P98402
|
FINISHED |
| Object | combined scoring of all qualified athletes from each institution |
—
|
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: combined scoring of all qualified athletes from each institution | Statement: [NCAA Division II Outdoor Track and Field Championships, teamTitleBasis, combined scoring of all qualified athletes from each institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamTitleBasis Context triple: [NCAA Division II Outdoor Track and Field Championships, teamTitleBasis, combined scoring of all qualified athletes from each institution]
-
A.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
-
B.
teamNameType
Indicates the type or category associated with a team's name (e.g., formal name, short name, nickname).
-
C.
teamBase
Indicates that one entity serves as the primary or foundational team associated with another entity.
-
D.
teamCoachedToTitle
Indicates that a coach led a team to win a championship or title.
-
E.
team2LeagueTitle
Indicates that a second team has won or holds a league championship title.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.