Triple
T36783063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 NBA Finals |
E908824
|
entity |
| Predicate | decadeChampionshipCountForBulls |
P186293
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1997 NBA Finals, decadeChampionshipCountForBulls, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeChampionshipCountForBulls Context triple: [1997 NBA Finals, decadeChampionshipCountForBulls, 5]
-
A.
BullsTitleNumber
Indicates the ordinal number of a championship title won by the Chicago Bulls.
-
B.
BucksChampionshipCountAfterSeason
Indicates the total number of NBA championships the Bucks have won as of the end of a given season.
-
C.
BullsThreePeat
Indicates that the Chicago Bulls achieved three consecutive championship victories (a "three-peat") in a given context.
-
D.
BullsPlayoffRecord
Indicates the Chicago Bulls’ win–loss record in NBA playoff games for a given season or time span.
-
E.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabdd2d88190be1c8de7e499cb83 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7ca91f1808190b2a05c4b691da0bb |
completed | May 3, 2026, 10:22 p.m. |
Created at: May 3, 2026, 4:12 p.m.