Triple
T29101914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Rally Championship |
E736657
|
entity |
| Predicate | hasCar |
P12443
|
FINISHED |
| Object | Toyota Celica GT-Four |
—
|
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 Celica GT-Four | Statement: [Sega Rally Championship, hasCar, Toyota Celica GT-Four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCar Context triple: [Sega Rally Championship, hasCar, Toyota Celica GT-Four]
-
A.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
B.
hasCarClass
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
C.
hasCarConstructor
Indicates that an entity is associated with a specific car constructor (manufacturer or builder) responsible for producing its car.
-
D.
vehicleUsed
chosen
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
E.
hasCarLength
Indicates that an entity is associated with a specific measurement representing the length of a car.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 28, 2026, 11:12 a.m.