Triple
T36511886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. S. L. Narasimhan |
E899928
|
entity |
| Predicate | predecessorAsGovernorOfTelangana |
P196105
|
FINISHED |
| Object | office established |
—
|
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: office established | Statement: [E. S. L. Narasimhan, predecessorAsGovernorOfTelangana, office established]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsGovernorOfTelangana Context triple: [E. S. L. Narasimhan, predecessorAsGovernorOfTelangana, office established]
-
A.
predecessorAsGovernorOfAndhraPradesh
Indicates that one entity previously held the position of Governor of Andhra Pradesh immediately before another entity.
-
B.
precededInOfficeAsGovernorBy
Indicates that one individual assumed the role of governor after another specific individual, who held the office immediately before them.
-
C.
precededByAsChiefMinister
Indicates that one individual previously served as chief minister before another individual in a sequence of officeholders.
-
D.
successorAsTreasurerOfTexas
Indicates that one entity became the next treasurer of Texas after another entity.
-
E.
precededByAsChiefMinisterOfDelhi
Indicates that one individual previously held the position of Chief Minister of Delhi immediately before another individual.
- 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_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_69fe066b623c819085205fbea901e3cf |
completed | May 8, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.