Triple
T34156536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandar |
E876152
|
entity |
| Predicate | typicalUsageCountry |
—
|
GENERATED |
| Object | India |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUsageCountry Context triple: [Chandar, typicalUsageCountry, India]
-
A.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
-
B.
usedInCountry
chosen
Indicates that something is utilized, applied, or in operation within the specified country.
-
C.
usedInCountryType
Indicates that something is utilized or applied within a specific type or category of country (e.g., developing, industrialized, etc.).
-
D.
usedWithCountryName
Indicates that something (such as a term, label, or identifier) is used specifically in conjunction with a country name.
-
E.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
- F. None of above.
Provenance (1 batch)
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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:54 a.m.