Triple
T27800557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023–24 NBA season |
E702227
|
entity |
| Predicate | inSeasonTournamentRunnerUp |
P163567
|
FINISHED |
| Object | Indiana Pacers |
—
|
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: Indiana Pacers | Statement: [2023–24 NBA season, inSeasonTournamentRunnerUp, Indiana Pacers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inSeasonTournamentRunnerUp Context triple: [2023–24 NBA season, inSeasonTournamentRunnerUp, Indiana Pacers]
-
A.
championshipSeriesRunnerUp
Indicates that an entity finished in second place (as the runner-up) in a specified championship series.
-
B.
NCAATournamentRunnerUpFinishes
Indicates that a team finished as the runner-up (second place) in a specific NCAA Tournament.
-
C.
bubbleTournamentRunnerUp
Indicates that an entity finished in second place (runner-up) in a bubble-format tournament.
-
D.
secondRoundRunnerUp
Indicates that an entity finished in third place (runner-up to the runner-up) in the second round of a competition or selection process.
-
E.
firstRoundRunnerUp
Indicates that an entity finished in second place in the first round of a competition or selection process.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 5:34 p.m.