Triple
T30367295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 Summer Olympics men's basketball |
E772453
|
entity |
| Predicate | goldMedalistConfederation |
P169122
|
FINISHED |
| Object | FIBA Americas |
—
|
NE NERFINISHED |
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: FIBA Americas | Statement: [1996 Summer Olympics men's basketball, goldMedalistConfederation, FIBA Americas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalistConfederation Context triple: [1996 Summer Olympics men's basketball, goldMedalistConfederation, FIBA Americas]
-
A.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
-
B.
goldMedalistNationality
Indicates the nationality of the athlete who won the gold medal in a given event or competition.
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- F. None of above. chosen
Provenance (4 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6828068d48190b8898c9846d80a4d |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 7:58 p.m.