Triple
T30947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I FCS |
E617
|
entity |
| Predicate | nameChangeReason |
P2136
|
FINISHED |
| Object | to distinguish subdivisions by postseason format rather than I-A and I-AA labels |
—
|
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: to distinguish subdivisions by postseason format rather than I-A and I-AA labels | Statement: [NCAA Division I FCS, nameChangeReason, to distinguish subdivisions by postseason format rather than I-A and I-AA labels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameChangeReason Context triple: [NCAA Division I FCS, nameChangeReason, to distinguish subdivisions by postseason format rather than I-A and I-AA labels]
-
A.
nameChangeDate
Indicates the date on which an entity’s name was officially changed.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
currentName
Indicates the present or most recently assigned name associated with an entity.
-
D.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
E.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490d80a0819083bf604c1229e903 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486eb01881909241540dda28e1ff |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a2490c9c348190bf8536a08415b94a |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.