Triple
T36116081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Davidson |
E1044616
|
entity |
| Predicate | racedCarModel |
P176935
|
FINISHED |
| Object | Toyota TS040 Hybrid |
—
|
NE NERFINISHED |
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: Toyota TS040 Hybrid | Statement: [Anthony Davidson, racedCarModel, Toyota TS040 Hybrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racedCarModel Context triple: [Anthony Davidson, racedCarModel, Toyota TS040 Hybrid]
-
A.
racingModel
chosen
Indicates that one entity is a specific model or version designed or configured for racing in relation to another entity.
-
B.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
C.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
D.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
-
E.
raceTechnology
Indicates a relationship where an entity is associated with, uses, or is characterized by a particular technology in the context of racing or competitive speed.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.