Triple
T32827612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | penaltyScorerArgentina |
P175151
|
FINISHED |
| Object | Lionel Messi |
—
|
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: Lionel Messi | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), penaltyScorerArgentina, Lionel Messi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyScorerArgentina Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), penaltyScorerArgentina, Lionel Messi]
-
A.
pointsScorerForArgentina
Indicates that one entity is the player who scored points for the Argentina team in a game or competition.
-
B.
tryScorerForArgentina
Indicates that an entity scored a try while playing for the Argentina national team.
-
C.
penaltyGoalScorerForBrazil
Indicates that the subject is the player who scored a goal from a penalty kick for the Brazil national team.
-
D.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
E.
ArgentinaCaptain
Indicates that a person serves as the captain of Argentina’s national team in a particular sport or context.
- 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.