Triple
T29906411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico vs Cameroon (2014 FIFA World Cup) |
E759547
|
entity |
| Predicate | numberOfDisallowedGoalsForMexico |
P201844
|
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: [Mexico vs Cameroon (2014 FIFA World Cup), numberOfDisallowedGoalsForMexico, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDisallowedGoalsForMexico Context triple: [Mexico vs Cameroon (2014 FIFA World Cup), numberOfDisallowedGoalsForMexico, 2]
-
A.
teamWithDisallowedGoals
Indicates that a team is associated with one or more goals that are not permitted or violate defined constraints.
-
B.
MexicoConfederationTournament
Indicates a tournament in which teams or participants from Mexico compete within a confederation-level competition.
-
C.
MexicanObjective
Indicates that an entity has an objective, goal, or target specifically related to Mexico or Mexican affairs.
-
D.
MexicoWorldCupTitlesBeforeMatch
Indicates the number of FIFA World Cup titles Mexico had won prior to the referenced match.
-
E.
numberOfCopaMexicoTitles
Indicates the number of Copa México titles that an entity has won.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_6a00296249d48190b2de7af946126eaf |
completed | May 10, 2026, 6:44 a.m. |
Created at: April 29, 2026, 6:08 p.m.