Triple
T35752084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus F1 Team |
E1033344
|
entity |
| Predicate | constructorChampionshipPosition2014 |
P171448
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Lotus F1 Team, constructorChampionshipPosition2014, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorChampionshipPosition2014 Context triple: [Lotus F1 Team, constructorChampionshipPosition2014, 8]
-
A.
constructorChampionshipPosition
chosen
Indicates the finishing position or rank that a constructor achieved in a championship or season standings.
-
B.
bestConstructorsChampionshipPosition
Indicates the highest (best) finishing position a constructor has achieved in a constructors’ championship standings.
-
C.
bestFormulaOneChampionshipPosition
Indicates the highest (best) finishing position an entity has ever achieved in a Formula One World Championship season.
-
D.
polePositionDriverTeam
Indicates which team the driver who secured pole position in a race was driving for.
-
E.
grandPrixPosition
Indicates the finishing place or rank an entity achieved in a Grand Prix event.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4:06 p.m.