Triple
T15209382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Tigers |
E363473
|
entity |
| Predicate | primaryConferenceSportScope |
P24165
|
FINISHED |
| Object | most varsity sports |
—
|
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: most varsity sports | Statement: [Golden Tigers, primaryConferenceSportScope, most varsity sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryConferenceSportScope Context triple: [Golden Tigers, primaryConferenceSportScope, most varsity sports]
-
A.
primaryConferenceForMostSports
chosen
Indicates that the referenced conference is the main or default athletic conference in which an institution’s majority of sports teams compete.
-
B.
primaryConferenceAbbrev
Indicates the abbreviated name of the main conference with which an entity (such as a team or school) is primarily affiliated.
-
C.
primaryConferenceCoverage
Indicates that an entity serves as the main or dominant source of coverage for a particular conference or event.
-
D.
primaryArenaSport
Indicates the main sport that is primarily played or hosted in a given arena.
-
E.
primarySports
Indicates that a particular sport is the main or most important sport associated with an entity (such as a person, team, or organization).
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:11 a.m.