Triple
T27034030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Universe 1987 |
E681002
|
entity |
| Predicate | fourthRunnerUp |
P14675
|
FINISHED |
| Object | Geraldine Edith Asis |
—
|
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: Geraldine Edith Asis | Statement: [Miss Universe 1987, fourthRunnerUp, Geraldine Edith Asis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthRunnerUp Context triple: [Miss Universe 1987, fourthRunnerUp, Geraldine Edith Asis]
-
A.
fourthPlace
chosen
Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
-
B.
conferenceOfRunnerUp
Indicates the conference or league affiliation to which the runner-up entity belongs.
-
C.
WorldCupFourthPlace
Indicates that an entity finished in fourth place in a FIFA World Cup tournament.
-
D.
fourthRoundOpponent
Indicates that one entity is the opponent faced by another entity in the fourth round of a competition or tournament.
-
E.
fourthPlaceQualifiedFor
Indicates that the entity finishing in fourth place has earned qualification for a subsequent stage, event, or competition.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 7:15 a.m.