Triple
T35206427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teodoro Fernández |
E1016547
|
entity |
| Predicate | representativeTeamAppearances |
P13109
|
FINISHED |
| Object | Peru national team in the 1930s and 1940s |
—
|
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: Peru national team in the 1930s and 1940s | Statement: [Teodoro Fernández, representativeTeamAppearances, Peru national team in the 1930s and 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representativeTeamAppearances Context triple: [Teodoro Fernández, representativeTeamAppearances, Peru national team in the 1930s and 1940s]
-
A.
teamAppearances
Indicates the number of times an entity has participated in or been present as part of a particular team.
-
B.
nationalTeamAppearances
chosen
Indicates the number of official matches in which an entity has represented its national team.
-
C.
tournamentAppearances
Indicates the number of times an entity has participated in a particular tournament or competition.
-
D.
WorldCupAppearancesIncludes
Indicates that a set of World Cup appearances for one entity includes, as a subset, the World Cup appearances of another entity.
-
E.
leagueAppearances
Indicates the number of times an entity has participated in official league matches or competitions.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.