Triple
T5870572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Gabelo Conejo |
E130504
|
entity |
| Predicate | positionIn1990WorldCup |
P67639
|
FINISHED |
| Object | first-choice goalkeeper for Costa Rica |
—
|
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: first-choice goalkeeper for Costa Rica | Statement: [Luis Gabelo Conejo, positionIn1990WorldCup, first-choice goalkeeper for Costa Rica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionIn1990WorldCup Context triple: [Luis Gabelo Conejo, positionIn1990WorldCup, first-choice goalkeeper for Costa Rica]
-
A.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
B.
fifaWorldRankingPeakPosition
Indicates the highest (best) position an entity has ever achieved in the official FIFA world rankings.
-
C.
worldCupGoals
Indicates the number of goals an entity scored in World Cup matches.
-
D.
WorldCupDebutYear
Indicates the year in which an entity (typically a team or player) first participated in a World Cup tournament.
-
E.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c044fe17d08190b9bf47b13863ef52 |
completed | March 22, 2026, 7:37 p.m. |
Created at: March 22, 2026, 3:56 p.m.