Triple
T12652825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Tuskers |
E302205
|
entity |
| Predicate | championshipGameAppearances |
P106019
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Florida Tuskers, championshipGameAppearances, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipGameAppearances Context triple: [Florida Tuskers, championshipGameAppearances, 2009]
-
A.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
-
B.
hasChampionshipGames
Indicates that an entity includes, hosts, or is associated with one or more championship-level games or matches.
-
C.
playedFirstChampionshipGame
Indicates that an entity participated in its first championship game in a given sport, league, or competition.
-
D.
conferenceChampionshipAppearancesThrough2023
Indicates the number of times an entity has appeared in conference championship games or series up to and including the 2023 season.
-
E.
playsChampionshipGame
Indicates that an entity participates as a competitor in a championship-level game or match.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:18 p.m.