Triple
T32827621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | goalkeeperNetherlands |
P34552
|
FINISHED |
| Object | Jasper Cillessen |
—
|
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: Jasper Cillessen | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), goalkeeperNetherlands, Jasper Cillessen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalkeeperNetherlands Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), goalkeeperNetherlands, Jasper Cillessen]
-
A.
goalkeeperArgentina
Indicates that the subject is the goalkeeper for a team representing Argentina.
-
B.
MexicoGoalkeeper
Indicates that an entity serves as a goalkeeper for a Mexican national or club soccer team.
-
C.
goalkeeperInFinal
Indicates that an entity served as a goalkeeper in the final match of a competition.
-
D.
goalkeeperOfItaly
Indicates that the subject is the person who plays as the goalkeeper for the Italy national football team.
-
E.
goaltender
chosen
Indicates a relationship where an entity serves as the goalkeeper or primary defender of the goal for a team in a game or sport.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:16 a.m.