Triple
T25096510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tri Sub-17 |
E628602
|
entity |
| Predicate | fifaWorldCupRunnerUp |
P89839
|
FINISHED |
| Object | 2019 FIFA U-17 World Cup |
—
|
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: 2019 FIFA U-17 World Cup | Statement: [El Tri Sub-17, fifaWorldCupRunnerUp, 2019 FIFA U-17 World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldCupRunnerUp Context triple: [El Tri Sub-17, fifaWorldCupRunnerUp, 2019 FIFA U-17 World Cup]
-
A.
WorldCupRunnerUp
chosen
Indicates that an entity finished in second place in a FIFA World Cup tournament, losing in the final match.
-
B.
worldCupRunnerUp
Indicates that an entity finished in second place in a FIFA World Cup tournament.
-
C.
fifaConfederationsCupRunnerUp
Indicates that an entity finished in second place (was the runner-up) in a specified edition of the FIFA Confederations Cup.
-
D.
fifaWorldCupRunnersUpYear
Indicates the year in which an entity finished as runners-up in a FIFA World Cup tournament.
-
E.
fifaU20WWC_runnersUp
Indicates the team that finished as runners-up (second place) in a given edition of the FIFA U-20 Women's World Cup.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:25 a.m.