Triple
T35743362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IN-JH |
E1033102
|
entity |
| Predicate | representsSubdivisionCategory |
P19236
|
FINISHED |
| Object | state of India |
—
|
LITERAL FINISHED |
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: state of India | Statement: [IN-JH, representsSubdivisionCategory, state of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsSubdivisionCategory Context triple: [IN-JH, representsSubdivisionCategory, state of India]
-
A.
representsSubdivision
Indicates that one entity is a subdivision or smaller administrative/organizational unit within another, larger entity.
-
B.
representsSubdivisionOf
chosen
Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
-
C.
representsCurrentSubdivision
Indicates that one entity is the current administrative or organizational subdivision of another entity.
-
D.
representsCountrySubdivisionOf
Indicates that one geopolitical unit is an administrative or territorial subdivision of another country.
-
E.
isSubdivisionUsedFor
Indicates that a particular subdivision (such as a region, section, or part of something) is utilized for a specified purpose or function.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: May 3, 2026, 4:06 p.m.