Triple
T27769472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACC Championship 2013 |
E701700
|
entity |
| Predicate | rankingOfFloridaStateBeforeGame |
P172363
|
FINISHED |
| Object | AP No. 1 |
—
|
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: AP No. 1 | Statement: [ACC Championship 2013, rankingOfFloridaStateBeforeGame, AP No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingOfFloridaStateBeforeGame Context triple: [ACC Championship 2013, rankingOfFloridaStateBeforeGame, AP No. 1]
-
A.
michiganPreBowlAPRanking
Indicates Michigan's Associated Press (AP) national ranking position prior to a specific bowl game.
-
B.
buccaneersReputationBeforeGame
Indicates the perceived reputation or standing of the Buccaneers prior to the start of a specific game.
-
C.
washingtonStatePreBowlAPRanking
Indicates the Associated Press poll ranking assigned to Washington State University’s football team before a particular bowl game.
-
D.
populationRankInFlorida
Indicates the relative position of an entity in a ranking based on its population size within the state of Florida.
-
E.
UConnRankEnteringGame
Indicates the ranking position assigned to UConn at the time the game began.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 27, 2026, 4:33 p.m.