Triple
T25622686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 NCAA Division I men's basketball tournament |
E642342
|
entity |
| Predicate | firstFourCity |
P68431
|
FINISHED |
| Object | Dayton, Ohio |
—
|
NE NERFINISHED |
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: Dayton, Ohio | Statement: [2017 NCAA Division I men's basketball tournament, firstFourCity, Dayton, Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFourCity Context triple: [2017 NCAA Division I men's basketball tournament, firstFourCity, Dayton, Ohio]
-
A.
firstSeasonCity
Indicates that a city is the location where a sports team played its first season.
-
B.
mainCities
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
-
C.
isFourthLargestCityIn
Indicates that a city is the fourth most populous or significant city within a specified larger region or country.
-
D.
finalFourCity
chosen
Indicates the city where the Final Four round of a tournament (typically a basketball championship) is held.
-
E.
firstRaceCity
Indicates the city where an entity’s first race or competitive event took place.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 21, 2026, 5:06 p.m.