Triple
T25767333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Volt (first generation) |
E648919
|
entity |
| Predicate | marketIntroductionCountry |
P160280
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Chevrolet Volt (first generation), marketIntroductionCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketIntroductionCountry Context triple: [Chevrolet Volt (first generation), marketIntroductionCountry, United States]
-
A.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
B.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
C.
countryResponse
Indicates that a country issues, provides, or expresses a reply, reaction, or stance in response to a particular event, request, or situation.
-
D.
expoCountry
Indicates that an exposition, fair, or exhibition is hosted in or associated with a particular country.
-
E.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
- F. None of above. chosen
Provenance (4 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_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 5:11 a.m.