Triple
T12386096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolkata Metropolitan Area |
E295867
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Naihati |
E142801
|
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: Naihati | Statement: [Kolkata Metropolitan Area, containsCity, Naihati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naihati Context triple: [Kolkata Metropolitan Area, containsCity, Naihati]
-
A.
Naihati
chosen
Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
-
B.
Bhatarka
Bhatarka was an early Indian ruler who founded the Maitraka dynasty, establishing its power base in the region of present-day Gujarat.
-
C.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
D.
Naharkatia
Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
-
E.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b926c5c81909427eb191ae75ec6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.