Triple
T22049220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil vs Germany (2014 FIFA World Cup) |
E544838
|
entity |
| Predicate | homeTeamFIFAWorldRankingAtTournament |
P146390
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Brazil vs Germany (2014 FIFA World Cup), homeTeamFIFAWorldRankingAtTournament, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamFIFAWorldRankingAtTournament Context triple: [Brazil vs Germany (2014 FIFA World Cup), homeTeamFIFAWorldRankingAtTournament, 3]
-
A.
homeCountryLeagueRank
Indicates the position or ranking of an entity’s home-country league within a competitive or hierarchical league system.
-
B.
fifaHighestRanking
Indicates the highest position an entity has ever achieved in the official FIFA world rankings.
-
C.
qualifiedTeamAsWorldCupHost
Indicates that a team has secured qualification to participate in the World Cup specifically in the edition hosted by the referenced host nation.
-
D.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
E.
isWorldCupTeam
Indicates that an entity is a national team that participates in the FIFA World Cup tournament.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283191e48190b4ddc84138243327 |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:26 p.m.