Triple
T35917104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 World Rally Championship season |
E1038777
|
entity |
| Predicate | introducedCarClass |
P122426
|
FINISHED |
| Object | Rally1 |
—
|
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: Rally1 | Statement: [2022 World Rally Championship season, introducedCarClass, Rally1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedCarClass Context triple: [2022 World Rally Championship season, introducedCarClass, Rally1]
-
A.
introducedModelFamily
Indicates that an entity (such as a person or organization) is responsible for first presenting or launching a particular model family.
-
B.
hasCarClass
chosen
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
C.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
-
D.
featuredVehicleDebut
Indicates that a particular vehicle made its first prominent or notable appearance in the referenced context or work.
-
E.
introducedClass345
Indicates that one entity formally presented or brought another entity (such as a person, concept, or item) to the attention of others for the first time.
- 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_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 3, 2026, 4:07 p.m.