Triple
T36511885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. S. L. Narasimhan |
E899928
|
entity |
| Predicate | firstGovernorOf |
—
|
GENERATED |
| Object | Telangana |
—
|
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: firstGovernorOf Context triple: [E. S. L. Narasimhan, firstGovernorOf, Telangana]
-
A.
laterGovernor
Indicates that one entity subsequently became the governor of a place or jurisdiction associated with another entity.
-
B.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
C.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
D.
lastGovernor
Indicates that one entity served as the most recent (final or current) governor of another entity, such as a region or territory.
-
E.
precededInOfficeAsGovernorBy
Indicates that one individual assumed the role of governor after another specific individual, who held the office immediately before them.
- F. None of above. chosen
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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.