Triple
T7990890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanchrapara |
E186001
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Halisahar |
E168295
|
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: Halisahar | Statement: [Kanchrapara, locatedNear, Halisahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halisahar Context triple: [Kanchrapara, locatedNear, Halisahar]
-
A.
Halisahar
chosen
Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
-
B.
Khaltahi
Khaltahi is a regional dialect of the Chhattisgarhi language spoken in parts of central India.
-
C.
Harnai
Harnai is a town in Pakistan’s Balochistan province known for its coal mining and mountainous terrain.
-
D.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
E.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c6fc19c8190b98023e257c2f4f2 |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93991e9c8190a6834b8d9fd82128 |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:16 p.m.