Triple
T27181453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okhaldhunga District |
E683201
|
entity |
| Predicate | previousNameOfProvince |
P107213
|
FINISHED |
| Object | Province No. 1 |
—
|
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: Province No. 1 | Statement: [Okhaldhunga District, previousNameOfProvince, Province No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousNameOfProvince Context triple: [Okhaldhunga District, previousNameOfProvince, Province No. 1]
-
A.
formerNameOfProvince
chosen
Indicates that one name was previously used as the official name of a province before being replaced by another name.
-
B.
previousProvince
Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
-
C.
formerNameOfRegion
Indicates that one name was previously used for a region that is now known by a different name.
-
D.
formerNameOfDistrict
Indicates that one district previously had a different official name, which is the value linked by this predicate.
-
E.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 27, 2026, 9:28 a.m.