Triple
T5911472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABA All-Star Game |
E131467
|
entity |
| Predicate | lastGameSeason |
P67656
|
FINISHED |
| Object | 1975–76 ABA season |
—
|
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: 1975–76 ABA season | Statement: [ABA All-Star Game, lastGameSeason, 1975–76 ABA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastGameSeason Context triple: [ABA All-Star Game, lastGameSeason, 1975–76 ABA season]
-
A.
lastChampionshipGameSeason
Indicates the season in which an entity most recently participated in a championship game.
-
B.
lastWorksSeason
Indicates the season in which an entity (such as a person or organization) last performed work or was active in a particular role or context.
-
C.
lastGamePlayed
Indicates the most recent game that an entity has participated in or played.
-
D.
lastWinnerSeason
Indicates that the subject is the most recent winner of a recurring competition or award in the specified season.
-
E.
previousSeason
Indicates that one season directly precedes another in chronological order within the same series or competition.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c048fb02a081908e78629e1e283cd0 |
completed | March 22, 2026, 7:54 p.m. |
Created at: March 22, 2026, 3:59 p.m.