Triple
T14605885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Karnataka |
E342827
|
entity |
| Predicate | exOfficioRole |
P27624
|
FINISHED |
| Object | Chancellor of state universities in Karnataka |
—
|
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: Chancellor of state universities in Karnataka | Statement: [Governor of Karnataka, exOfficioRole, Chancellor of state universities in Karnataka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exOfficioRole Context triple: [Governor of Karnataka, exOfficioRole, Chancellor of state universities in Karnataka]
-
A.
officeHolderRoleIn
Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
-
B.
officeItAbbreviatesRole
Indicates that an office title or designation serves as an abbreviation for a particular role or position.
-
C.
natureOfOffice
Indicates the type or character of an office or position, specifying what kind of role or function it represents.
-
D.
officeHolderRoleFor
chosen
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
E.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.