Triple
T573726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Notre Dame |
E13717
|
entity |
| Predicate | footballStatus |
P16191
|
FINISHED |
| Object | FBS independent |
—
|
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: FBS independent | Statement: [University of Notre Dame, footballStatus, FBS independent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballStatus Context triple: [University of Notre Dame, footballStatus, FBS independent]
-
A.
competitionStatus
Indicates the current state or phase of a competition, such as whether it is upcoming, ongoing, paused, or completed.
-
B.
sportsCountStatus
Indicates the status or condition of how many sports-related items or activities are present or counted.
-
C.
feedsLeague
Indicates that one entity provides food or nourishment to a sports league or organized competitive group.
-
D.
playerStatus
Indicates the current state or condition of a player within a game or system, such as their activity, health, or participation status.
-
E.
halftimeScore
Indicates the score or result of a game or match at the halfway point (halftime).
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.