Triple
T32827616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | penaltyScorerNetherlands |
P91903
|
FINISHED |
| Object | Arjen Robben |
—
|
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: Arjen Robben | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), penaltyScorerNetherlands, Arjen Robben]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyScorerNetherlands Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), penaltyScorerNetherlands, Arjen Robben]
-
A.
penaltyScoredBy
chosen
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
B.
penaltyGoalPoints
Indicates that points are awarded for a goal scored from a penalty situation.
-
C.
AmsterdamAdmiralsScore
Indicates that the Amsterdam Admirals achieved a particular score in a game or match.
-
D.
finalScorePenalties
Indicates the penalties that are applied to determine or adjust the final score in a given context.
-
E.
countryOfNLTeam
Indicates the country that a particular national league team represents or belongs to.
- 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.