Triple
T24913481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Football Playoff Selection Committee |
E623909
|
entity |
| Predicate | replacedMetric |
P28535
|
FINISHED |
| Object | computer rankings as primary determinant |
—
|
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: computer rankings as primary determinant | Statement: [College Football Playoff Selection Committee, replacedMetric, computer rankings as primary determinant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedMetric Context triple: [College Football Playoff Selection Committee, replacedMetric, computer rankings as primary determinant]
-
A.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
B.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
C.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
-
D.
replacedStandard
chosen
Indicates that one standard has been superseded or taken the place of another standard.
-
E.
replacedFrequency
Indicates how often one entity is substituted for or takes the place of another over a given period.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:28 a.m.