Triple
T12069147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA Today Coaches Poll |
E287375
|
entity |
| Predicate | rankingPositions |
P103031
|
FINISHED |
| Object | Top 25 teams |
—
|
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: Top 25 teams | Statement: [USA Today Coaches Poll, rankingPositions, Top 25 teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingPositions Context triple: [USA Today Coaches Poll, rankingPositions, Top 25 teams]
-
A.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
B.
rankingBehind
Indicates that one entity holds a lower or later position than another in an ordered ranking or hierarchy.
-
C.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
D.
rankingMember
Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
-
E.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.