Triple
T38490922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Trekker |
E918049
|
entity |
| Predicate | conversionCountry |
P31664
|
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: [Toyota Trekker, conversionCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionCountry Context triple: [Toyota Trekker, conversionCountry, United States]
-
A.
convertedCountry
Indicates that one country has changed its official or primary religion to another religion or religious affiliation.
-
B.
convertedCountryTo
Indicates that an entity has changed or transformed another entity into a specified country or country-level status.
-
C.
conversionPlace
chosen
Indicates the location where one entity is transformed, converted, or changed into another form or state.
-
D.
exchangeCountryCode
Indicates the country associated with an exchange, typically identified by its standardized country code.
-
E.
testCountry
Indicates that an entity is associated with or designated as a test or placeholder country within a system or dataset.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:31 p.m.