Triple
T19864648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1975 NBA Finals |
E477357
|
entity |
| Predicate | WarriorsFranchiseTitleNumber |
P64721
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1975 NBA Finals, WarriorsFranchiseTitleNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WarriorsFranchiseTitleNumber Context triple: [1975 NBA Finals, WarriorsFranchiseTitleNumber, 3]
-
A.
warriorsTitleInEightYears
Indicates that the person will hold the specified Warriors-related title or role eight years from the reference time.
-
B.
warriorsFinalsStreak
Indicates the relationship where the Golden State Warriors appear in consecutive NBA Finals across multiple seasons.
-
C.
totalFranchiseTitleNumber
chosen
Indicates the total count of titles associated with a given franchise across all its installments or entries.
-
D.
estimatedWarriors
Indicates an approximate or inferred count of warriors associated with a given entity or context.
-
E.
isTitleNumberForTeam
Indicates that a given number represents the count of titles (e.g., championships or awards) associated with a specific team.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589d55a88190af7d4e12c4b07739 |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.