Triple
T2299684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilt Chamberlain |
E51699
|
entity |
| Predicate | nbaChampionshipsWon |
P7479
|
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: [Wilt Chamberlain, nbaChampionshipsWon, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nbaChampionshipsWon Context triple: [Wilt Chamberlain, nbaChampionshipsWon, 2]
-
A.
NBAchampionships
chosen
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
B.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
C.
NBAChampion
Indicates that an entity has won the National Basketball Association (NBA) championship title for a given season.
-
D.
wonNBAchampionshipWith
Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
-
E.
NBAchampionshipYear
Indicates the specific year in which an entity (typically a team) won an NBA championship.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.