Triple
T37360867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands 2014 World Cup campaign |
E927572
|
entity |
| Predicate | thirdPlaceOpponent |
P193227
|
FINISHED |
| Object | Brazil national football team |
—
|
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: Brazil national football team | Statement: [Netherlands 2014 World Cup campaign, thirdPlaceOpponent, Brazil national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlaceOpponent Context triple: [Netherlands 2014 World Cup campaign, thirdPlaceOpponent, Brazil national football team]
-
A.
thirdRoundOpponent
Indicates that one entity is the opponent faced by another entity in the third round of a competition or tournament.
-
B.
thirdPlaceTeam
Indicates that a team finished in third place in a competition, league, or ranking.
-
C.
thirdPlaceCandidate
Indicates that the subject is the candidate who finished in third place in a competition, ranking, or election.
-
D.
thirdPlaceCandidateAlliance
Indicates an alliance or cooperative relationship formed by the candidate who finished in third place, typically with another candidate or group.
-
E.
thirdPlaceRank
Indicates that an entity holds the third position in a ranking or ordered list relative to others.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: May 3, 2026, 4:16 p.m.