Triple
T22930980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIBA World Cup bronze medal |
E569437
|
entity |
| Predicate | secondPlaceContrast |
P64589
|
FINISHED |
| Object | FIBA World Cup silver medal |
—
|
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: FIBA World Cup silver medal | Statement: [FIBA World Cup bronze medal, secondPlaceContrast, FIBA World Cup silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlaceContrast Context triple: [FIBA World Cup bronze medal, secondPlaceContrast, FIBA World Cup silver medal]
-
A.
secondPlace
Indicates that an entity holds the position of runner-up or finishes in second place in a ranked ordering, competition, or comparison relative to others.
-
B.
secondaryOpponent
Indicates that an entity serves as an additional or backup opponent to a primary one in a given context or interaction.
-
C.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
D.
secondRank
Indicates that one entity holds the second position or rank in order or hierarchy relative to others.
-
E.
secondRunnerUp
chosen
Indicates that one entity finished in third place in a competition or ranking relative to the others.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18131956c8190b8c850fc1d57a119 |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.