Triple
T34130792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daltonganj Assembly constituency |
E875418
|
entity |
| Predicate | formerNameOfRegionRepresented |
P196621
|
FINISHED |
| Object | Daltonganj |
—
|
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: Daltonganj | Statement: [Daltonganj Assembly constituency, formerNameOfRegionRepresented, Daltonganj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfRegionRepresented Context triple: [Daltonganj Assembly constituency, formerNameOfRegionRepresented, Daltonganj]
-
A.
formerNameOfRegion
Indicates that one name was previously used for a region that is now known by a different name.
-
B.
formerNameOfProvince
Indicates that one name was previously used as the official name of a province before being replaced by another name.
-
C.
formerNameOfJurisdiction
chosen
Indicates that one jurisdiction previously had a different official name, which is given by the related entity.
-
D.
formerRegionBefore2016
Indicates that an entity was recognized as a region prior to the year 2016 but no longer holds that regional status after 2016.
-
E.
formerNameOfAreaWithin
Indicates that one area previously had a different name while remaining within the same larger encompassing area.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
Created at: May 1, 2026, 1:53 a.m.