Triple
T34130814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daltonganj Assembly constituency |
E875418
|
entity |
| Predicate | formerRegionalName |
P171724
|
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, formerRegionalName, Daltonganj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRegionalName Context triple: [Daltonganj Assembly constituency, formerRegionalName, Daltonganj]
-
A.
formerNameOfRegion
chosen
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.
formerNameOfDistrict
Indicates that one district previously had a different official name, which is the value linked by this predicate.
-
D.
formerGeographicalForm
Indicates that one geographical entity previously existed in the form of another geographical entity before undergoing a change (e.g., renaming, reorganization, or dissolution).
-
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_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 1, 2026, 1:53 a.m.