Triple
T10172689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonamura |
E235369
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Sepahijala district |
E807198
|
NE 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: Sepahijala district | Statement: [Sonamura, district, Sepahijala district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sepahijala district Context triple: [Sonamura, district, Sepahijala district]
-
A.
Sepahijala district
chosen
Sepahijala district is an administrative district in the Indian state of Tripura, known for its rich biodiversity and protected natural areas.
-
B.
Sangi Takht District
Sangi Takht District is an administrative district located within Afghanistan’s central Daykundi Province.
-
C.
Khizi District
Khizi District is an administrative region in northeastern Azerbaijan known for its mountainous landscapes, semi-desert areas, and proximity to the Caspian Sea.
-
D.
Hesarak District
Hesarak District is an administrative district located in eastern Afghanistan within Nangarhar Province.
-
E.
Tabasaran District
Tabasaran District is an administrative district in the Republic of Dagestan, Russia, known for its predominantly Tabasaran-speaking population and mountainous rural landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.