Triple
T32827622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | penaltySavesBySergioRomero |
P176071
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), penaltySavesBySergioRomero, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltySavesBySergioRomero Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), penaltySavesBySergioRomero, 2]
-
A.
penaltyShootoutSaveBy
Indicates that a penalty kick taken during a shootout is successfully saved or stopped by a specified goalkeeper.
-
B.
ArgentinaGoalkeeperError
Indicates an event where a goalkeeper from Argentina makes a mistake that negatively affects the game.
-
C.
bayernPenaltyScorer
Indicates that a player scored a penalty kick for Bayern Munich in a given match or context.
-
D.
penaltyShootoutLoser
Indicates the team or player that loses a match as a result of a penalty shootout.
-
E.
goalkeeperArgentina
Indicates that the subject is the goalkeeper for a team representing Argentina.
- 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_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:16 a.m.