Triple
T5869792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 NBA Finals |
E130484
|
entity |
| Predicate | heatConsecutiveFinalsAppearances |
P1746
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2014 NBA Finals, heatConsecutiveFinalsAppearances, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heatConsecutiveFinalsAppearances Context triple: [2014 NBA Finals, heatConsecutiveFinalsAppearances, 4]
-
A.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
-
B.
runnerUpConsecutiveAppearances
Indicates that an entity has achieved runner-up status in a competition for a specified number of consecutive appearances or editions.
-
C.
playedInFinals
Indicates that an entity participated as a competitor or player in the final round of a competition or tournament.
-
D.
NBAFinalsAppearances
chosen
Indicates the number of times an entity has participated in the NBA Finals series.
-
E.
mostConsecutiveWinsCount
Indicates the highest number of wins achieved in a row within a given sequence or context.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.