Triple
T17274480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheila Dikshit |
E419350
|
entity |
| Predicate | appointedAsGovernorOfKerala |
P126584
|
FINISHED |
| Object | 2014-03-04 |
—
|
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: 2014-03-04 | Statement: [Sheila Dikshit, appointedAsGovernorOfKerala, 2014-03-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedAsGovernorOfKerala Context triple: [Sheila Dikshit, appointedAsGovernorOfKerala, 2014-03-04]
-
A.
officeAssumedAsGovernorOfWestBengalOn
Indicates the date on which an individual formally assumed the office of Governor of West Bengal.
-
B.
firstIndianGovernor
Indicates that the subject is the first person of Indian origin to hold the position of governor of the specified entity.
-
C.
firstChiefMinisterOfNewState
Indicates that a person holds the distinction of being the inaugural chief minister of a newly formed state.
-
D.
successorAsGovernorGeneralOfIndia
Indicates that one person assumed the role of Governor-General of India immediately after another person, succeeding them in that office.
-
E.
termStartAsGovernorGeneralOfIndia
Indicates the date or point in time when an individual began their tenure as Governor-General of India.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332566c08190b4495dbbfe310ab6 |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:40 a.m.