Triple
T25767335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Volt (first generation) |
E648919
|
entity |
| Predicate | marketIntroductionCountry |
P160280
|
FINISHED |
| Object | China |
—
|
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: China | Statement: [Chevrolet Volt (first generation), marketIntroductionCountry, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketIntroductionCountry Context triple: [Chevrolet Volt (first generation), marketIntroductionCountry, China]
-
A.
marketIntroductionCountry
chosen
Indicates the country in which a product or service is first introduced to the market.
-
B.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
C.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
D.
countryResponse
Indicates that a country issues, provides, or expresses a reply, reaction, or stance in response to a particular event, request, or situation.
-
E.
expoCountry
Indicates that an exposition, fair, or exhibition is hosted in or associated with a particular country.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 5:11 a.m.