Triple
T16697503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnal Lok Sabha constituency |
E405752
|
entity |
| Predicate | assemblySegment |
P63908
|
FINISHED |
| Object | Assandh |
E405747
|
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: Assandh | Statement: [Karnal Lok Sabha constituency, assemblySegment, Assandh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assandh Context triple: [Karnal Lok Sabha constituency, assemblySegment, Assandh]
-
A.
Assandh
chosen
Assandh is a town in the Karnal district of Haryana, India, known for its agricultural economy and proximity to major regional transport routes.
-
B.
Jambusar
Jambusar is a town in the Bharuch district of Gujarat, India, known for its historical significance and regional trade and agriculture.
-
C.
Palsana
Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
-
D.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
-
E.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832e93c48190a594c498e9cc901a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d36aa90819090b738c1c94dcb9f |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:19 a.m.