Triple
T11847489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | basketball at the 1964 Summer Olympics |
E281814
|
entity |
| Predicate | editionNumberOfOlympicBasketball |
P98859
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [basketball at the 1964 Summer Olympics, editionNumberOfOlympicBasketball, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionNumberOfOlympicBasketball Context triple: [basketball at the 1964 Summer Olympics, editionNumberOfOlympicBasketball, 5]
-
A.
editionOfOlympicTournament
chosen
Indicates that one entity is a specific edition or occurrence within the overall series of Olympic tournaments represented by the other entity.
-
B.
hasBasketballLevel
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
C.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
D.
NBAFinalsAppearances
Indicates the number of times an entity has participated in the NBA Finals series.
-
E.
NBAchampionshipYears
Indicates the specific years 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65c72088190b8de9550c455b788 |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.