Triple
T36511869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. S. L. Narasimhan |
E899928
|
entity |
| Predicate | officeAssumedAsGovernorOfAndhraPradesh |
P201807
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [E. S. L. Narasimhan, officeAssumedAsGovernorOfAndhraPradesh, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAssumedAsGovernorOfAndhraPradesh Context triple: [E. S. L. Narasimhan, officeAssumedAsGovernorOfAndhraPradesh, 2009]
-
A.
predecessorAsGovernorOfAndhraPradesh
Indicates that one entity previously held the position of Governor of Andhra Pradesh immediately before another entity.
-
B.
termStartAsChiefMinisterOfAndhraPradesh
Indicates the date or time period when an individual began their term serving as the Chief Minister of Andhra Pradesh.
-
C.
predecessorAsGovernorOfTelangana
Indicates that one person previously held the office of Governor of Telangana immediately before another person.
-
D.
officeAssumedAsGovernorOfWestBengalOn
Indicates the date on which an individual formally assumed the office of Governor of West Bengal.
-
E.
appointedAsGovernorOfKerala
Indicates that an entity has been formally appointed to the position of Governor of the state of Kerala.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00233e2170819084bee0c8f74cc1a4 |
completed | May 10, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_6a0022943fd08190b73007f080d5971d |
completed | May 10, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_6a00233d32bc8190bea60b09b46ee7bc |
completed | May 10, 2026, 6:18 a.m. |
Created at: May 3, 2026, 4:10 p.m.