Triple
T23573017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohaniya |
E580169
|
entity |
| Predicate | MLA2017 |
P121765
|
FINISHED |
| Object | Surendra Narayan Singh |
—
|
NE NERFINISHED |
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: Surendra Narayan Singh | Statement: [Rohaniya, MLA2017, Surendra Narayan Singh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MLA2017 Context triple: [Rohaniya, MLA2017, Surendra Narayan Singh]
-
A.
currentMLA
Indicates that the subject is the person who currently serves as the Member of the Legislative Assembly (MLA) for the object’s electoral district.
-
B.
previousMLA
chosen
Indicates that one entity served as a Member of the Legislative Assembly (MLA) for a constituency or jurisdiction immediately before the other entity.
-
C.
mlaTermStart
Indicates the date or point in time when a specific term, period, or agreement begins.
-
D.
citationStyle
Indicates the specific formatting and referencing conventions used to cite sources in a document or publication.
-
E.
citationStyleName
Indicates the specific formatting style or standard used for creating citations or references.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd40c9c8190b666a2010d723bf1 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:37 p.m.