Triple
T26368004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 NBA Finals |
E660394
|
entity |
| Predicate | RocketsTitleCount |
P25122
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1994 NBA Finals, RocketsTitleCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RocketsTitleCount Context triple: [1994 NBA Finals, RocketsTitleCount, 1]
-
A.
runnerUpMostTitles
Indicates that an entity holds the record for having the highest number of runner-up finishes or second-place titles in a given competition or context.
-
B.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
-
C.
winnerTitleCount
chosen
Indicates the number of titles or championships an entity has won.
-
D.
mostTitlesTeamTitles
Indicates that the referenced team holds the highest number of titles compared to all other teams in the specified context.
-
E.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6102dfc848190a94d1ef0f3c9e04e |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:56 p.m.