Triple
T29906424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico vs Cameroon (2014 FIFA World Cup) |
E759547
|
entity |
| Predicate | homeTeamWorldCupAppearanceNumber |
P23204
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Mexico vs Cameroon (2014 FIFA World Cup), homeTeamWorldCupAppearanceNumber, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamWorldCupAppearanceNumber Context triple: [Mexico vs Cameroon (2014 FIFA World Cup), homeTeamWorldCupAppearanceNumber, 15]
-
A.
worldCupAppearancesCount
Indicates the number of times an entity has participated in the FIFA World Cup tournament.
-
B.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
C.
worldCupAppearances
chosen
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
D.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
E.
FIFAWorldCupAppearance
Indicates that an entity has participated in at least one edition of the FIFA World Cup tournament.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67756337881908627f7068dc02d9f |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:08 p.m.