Triple
T8669293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagdeep Dhankhar |
E205754
|
entity |
| Predicate | officeAssumedAsGovernorOfWestBengalOn |
P83986
|
FINISHED |
| Object | 2019-07-30 |
—
|
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: 2019-07-30 | Statement: [Jagdeep Dhankhar, officeAssumedAsGovernorOfWestBengalOn, 2019-07-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAssumedAsGovernorOfWestBengalOn Context triple: [Jagdeep Dhankhar, officeAssumedAsGovernorOfWestBengalOn, 2019-07-30]
-
A.
officeAssumedAsLieutenantGovernor
Indicates that an individual has formally taken on and begun serving in the role of lieutenant governor.
-
B.
termStartAsGovernorOfBihar
Indicates the starting point in time when an individual begins serving in the official role of Governor of Bihar.
-
C.
termStartAsGovernorGeneralOfIndia
Indicates the date or point in time when an individual began their tenure as Governor-General of India.
-
D.
appointedGovernorGeneralOnAdviceOf
Indicates that an individual was appointed as Governor General based on the formal advice or recommendation of another specified party.
-
E.
firstIndianGovernor
Indicates that the subject is the first person of Indian origin to hold the position of governor of the specified entity.
- F. None of above. chosen
Provenance (4 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4917cb9881909a73b74e54250613 |
completed | March 31, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:31 p.m.