Triple
T627461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampa Bay Lightning |
E15849
|
entity |
| Predicate | conferenceChampionship |
P5860
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Tampa Bay Lightning, conferenceChampionship, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceChampionship Context triple: [Tampa Bay Lightning, conferenceChampionship, 2004]
-
A.
conferenceChampionshipGame
Indicates a game that determines the champion of a specific sports conference.
-
B.
championshipGame
Indicates a game that determines the overall champion or winner of a competition or tournament.
-
C.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
-
D.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
-
E.
wonConferenceTitle
chosen
Indicates that an entity secured the championship or first-place title in a conference-level competition or league.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e59e2688190b3c18b17c5db1e2b |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49d01b29081908be87e4cd7726ff1 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.