Triple
T32827620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | goalkeeperArgentina |
P175152
|
FINISHED |
| Object | Sergio Romero |
—
|
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: Sergio Romero | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), goalkeeperArgentina, Sergio Romero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalkeeperArgentina Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), goalkeeperArgentina, Sergio Romero]
-
A.
MexicoGoalkeeper
Indicates that an entity serves as a goalkeeper for a Mexican national or club soccer team.
-
B.
ArgentinaGoalkeeperError
Indicates an event where a goalkeeper from Argentina makes a mistake that negatively affects the game.
-
C.
goalkeeperOfItaly
Indicates that the subject is the person who plays as the goalkeeper for the Italy national football team.
-
D.
ArgentinaCaptain
Indicates that a person serves as the captain of Argentina’s national team in a particular sport or context.
-
E.
goalkeeperInFinal
Indicates that an entity served as a goalkeeper in the final match of a competition.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:16 a.m.