Triple
T7380027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Chhattisgarh |
E170222
|
entity |
| Predicate | officeBelongsTo |
P72510
|
FINISHED |
| Object | state government structure of Chhattisgarh |
—
|
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 government structure of Chhattisgarh | Statement: [Governor of Chhattisgarh, officeBelongsTo, state government structure of Chhattisgarh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeBelongsTo Context triple: [Governor of Chhattisgarh, officeBelongsTo, state government structure of Chhattisgarh]
-
A.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
B.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
-
C.
officeIn
chosen
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
D.
officeItAbbreviatesMemberOf
Indicates that an office-related abbreviation stands for or is a member of a particular office or organizational unit.
-
E.
officeSymbolizes
Indicates that an office represents, embodies, or stands as a symbol for a particular concept, status, authority, or organizational role.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c61484819087874d4e7f9fd791 |
completed | March 27, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.