Triple
T28107555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari F2005 |
E710402
|
entity |
| Predicate | constructorChampionshipPosition |
P171448
|
FINISHED |
| Object | 3rd in 2005 Constructors' Championship |
—
|
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: 3rd in 2005 Constructors' Championship | Statement: [Ferrari F2005, constructorChampionshipPosition, 3rd in 2005 Constructors' Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorChampionshipPosition Context triple: [Ferrari F2005, constructorChampionshipPosition, 3rd in 2005 Constructors' Championship]
-
A.
bestConstructorsChampionshipPosition
Indicates the highest (best) finishing position a constructor has achieved in a constructors’ championship standings.
-
B.
constructorChampionshipWin
Indicates that a constructor (team) has won a championship title in a given competition or season.
-
C.
constructorsChampionships
Indicates the number of championship titles won by a constructor (e.g., a racing team) in a given competition or series.
-
D.
bestFormulaOneChampionshipPosition
Indicates the highest (best) finishing position an entity has ever achieved in a Formula One World Championship season.
-
E.
championCoachPosition
Indicates that a coach held the coaching position for a team that won a championship.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 27, 2026, 9:09 p.m.