Triple
T1084285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Euro 1980 (matches) |
E24014
|
entity |
| Predicate | thirdPlaceMatch |
P8331
|
FINISHED |
| Object | Czechoslovakia vs Italy |
—
|
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: Czechoslovakia vs Italy | Statement: [UEFA Euro 1980 (matches), thirdPlaceMatch, Czechoslovakia vs Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlaceMatch Context triple: [UEFA Euro 1980 (matches), thirdPlaceMatch, Czechoslovakia vs Italy]
-
A.
thirdPlacePlayoff
chosen
Indicates a match or contest held to determine which participant finishes in third place, typically between the losers of the semifinals.
-
B.
thirdPlaceTeam
Indicates that a team finished in third place in a competition, league, or ranking.
-
C.
thirdPlacePrize
Indicates that an entity receives or is associated with the prize awarded for finishing in third place in a competition or ranking.
-
D.
secondRoundWinner
Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
-
E.
game3LosingTeam
Indicates the team that lost in the third game of a series or sequence of games.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9608bac819085196cc0f8fbb2e7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.