Triple
T35752561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIA Formula One 25–18–15–12–10–8–6–4–2–1 scoring system |
E1033354
|
entity |
| Predicate | pointsForFifthPlace |
P185264
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [FIA Formula One 25–18–15–12–10–8–6–4–2–1 scoring system, pointsForFifthPlace, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsForFifthPlace Context triple: [FIA Formula One 25–18–15–12–10–8–6–4–2–1 scoring system, pointsForFifthPlace, 10]
-
A.
pointsForFourthPlace
Indicates the number of points awarded to an entity for finishing in fourth place in a ranking or competition.
-
B.
fifthFinishingTeam
Indicates that a team finished in fifth place in a competition or event.
-
C.
fifthPlaceVoteSharePercentage
Indicates the percentage of total votes received by the candidate or option that finished in fifth place.
-
D.
fifthWinner
Indicates that an entity is the one that achieved fifth place (the fifth winner) in a ranked competition or event.
-
E.
pointsForThirdPlace
Indicates the number of points awarded to an entity for finishing in third place in a ranking or competition.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 3, 2026, 4:06 p.m.