Triple
T19689018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1972 NBA Finals |
E472784
|
entity |
| Predicate | championTitleNumberInLosAngeles |
P80431
|
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: [1972 NBA Finals, championTitleNumberInLosAngeles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleNumberInLosAngeles Context triple: [1972 NBA Finals, championTitleNumberInLosAngeles, 1]
-
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.
championTitleCountFranchise
Indicates the number of championship titles a franchise has won.
-
D.
nbaTitlesWithLosAngelesLakers
chosen
Indicates the number of NBA championship titles an entity has won while playing for the Los Angeles Lakers.
-
E.
championCityTitleNumber
Indicates the ordinal number of championship titles that a particular city has won or holds in a given competition or league.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420e5b788190a63ff6b83383b0e8 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:45 p.m.