Triple
T10037558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1971–72 Los Angeles Lakers |
E205210
|
entity |
| Predicate | winningStreakLength |
P13514
|
FINISHED |
| Object | 33 games |
—
|
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: 33 games | Statement: [1971–72 Los Angeles Lakers, winningStreakLength, 33 games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningStreakLength Context triple: [1971–72 Los Angeles Lakers, winningStreakLength, 33 games]
-
A.
mostConsecutiveWinsCount
chosen
Indicates the highest number of wins achieved in a row within a given sequence or context.
-
B.
longestUnbeatenStreak
Indicates the relationship where an entity holds the greatest continuous sequence of events (such as games or matches) without a loss compared to others.
-
C.
consecutiveGamesRecordHeldFrom
Indicates that one entity held the record for most consecutive games played starting from a specified point in time.
-
D.
notableStreakMatch
Indicates that a match is part of a significant or noteworthy streak (such as consecutive wins, losses, or performances) associated with an entity.
-
E.
defenderNationStreak
Indicates the sequence or run of consecutive events in which the same nation has acted as the defender.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcede428c8190ae115dc3425f9b0e |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:55 p.m.