Triple
T15723475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 NBA Finals |
E381162
|
entity |
| Predicate | championTitleCountInLosAngeles |
P80431
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1982 NBA Finals, championTitleCountInLosAngeles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleCountInLosAngeles Context triple: [1982 NBA Finals, championTitleCountInLosAngeles, 2]
-
A.
championTitleCountSinceMoveToSanFrancisco
Indicates the number of championship titles an entity has won since relocating to San Francisco.
-
B.
LakersTitleNumber
Indicates the specific championship title number that the Lakers franchise has won.
-
C.
nbaTitlesWithLosAngelesLakers
chosen
Indicates the number of NBA championship titles an entity has won while playing for the Los Angeles Lakers.
-
D.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
E.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.