Triple
T3464092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Nice 1961 |
E73093
|
entity |
| Predicate | thirdPlaceCountryCode |
P48936
|
FINISHED |
| Object | FRA |
—
|
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: FRA | Statement: [Paris–Nice 1961, thirdPlaceCountryCode, FRA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlaceCountryCode Context triple: [Paris–Nice 1961, thirdPlaceCountryCode, FRA]
-
A.
thirdPlaceNationality
Indicates the nationality of the entity that finished in third place in a competition or ranking.
-
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.
thirdPlaceCandidate
Indicates that the subject is the candidate who finished in third place in a competition, ranking, or election.
-
E.
thirdPlaceParty
Indicates that an entity finished in third place in a competitive event or ranking.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0dc100819084bb0c355c7bb15b |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.