Triple
T20170607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Nimar |
E491947
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Dewas district |
—
|
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: Dewas district | Statement: [East Nimar, borderedBy, Dewas district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dewas district Context triple: [East Nimar, borderedBy, Dewas district]
-
A.
Dewas district
chosen
Dewas district is an administrative region in the central Indian state of Madhya Pradesh, known for its industrial town of Dewas and agricultural hinterland.
-
B.
Doshi District
Doshi District is an administrative district in northern Afghanistan, located within Baghlan Province and known for its strategic position along key transport routes.
-
C.
Dausa district
Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
-
D.
Gonda district
Gonda district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and historical and cultural significance in the Awadh region.
-
E.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.