Triple

T9185464
Position Surface form Disambiguated ID Type / Status
Subject Tuensang E220444 entity
Predicate nearestMajorCity P1982 FINISHED
Object Kohima E162720 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: Kohima | Statement: [Tuensang, nearestMajorCity, Kohima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohima
Context triple: [Tuensang, nearestMajorCity, Kohima]
  • A. Kohima chosen
    Kohima is the hilly capital city of Nagaland, known for its strategic role in World War II and its rich Naga cultural heritage.
  • B. Mangaldoi
    Mangaldoi is a town in the Indian state of Assam that serves as an important administrative and commercial center for the surrounding region.
  • C. Mawlynnong
    Mawlynnong is a village in the Indian state of Meghalaya renowned for its exceptional cleanliness, eco-friendly practices, and living root bridges.
  • D. Imphal
    Imphal is the capital city of the Indian state of Manipur, known for its scenic valleys, historic Kangla Fort, and cultural significance in Northeast India.
  • E. Aizawl
    Aizawl is the hilly capital city of the Indian state of Mizoram, known for its scenic landscapes and vibrant Mizo culture in Northeast 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc318d5c081908c50b56e5783ea38 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07771873c8190a9e2ebf2c83775be completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:24 p.m.