Triple
T35917580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally4 |
E1038788
|
entity |
| Predicate | carExamples |
P126221
|
FINISHED |
| Object | Peugeot 208 Rally4 |
—
|
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: Peugeot 208 Rally4 | Statement: [Rally4, carExamples, Peugeot 208 Rally4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carExamples Context triple: [Rally4, carExamples, Peugeot 208 Rally4]
-
A.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
B.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
C.
notableCar
Indicates that the subject is a car recognized for its significance, prominence, or special interest (e.g., historically, culturally, or technically).
-
D.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
-
E.
poweredVehicleFamily
chosen
Indicates that one vehicle is part of a family or group of vehicles that share a common powered (motorized) design or platform.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa7a89081909b1d7b3118c3d4b1 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.