Triple

T9032285
Position Surface form Disambiguated ID Type / Status
Subject Wokha E216399 entity
Predicate roadDistanceTo P7750 FINISHED
Object Dimapur, Nagaland E270671 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: Dimapur, Nagaland | Statement: [Wokha, roadDistanceTo, Dimapur, Nagaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimapur, Nagaland
Context triple: [Wokha, roadDistanceTo, Dimapur, Nagaland]
  • A. Dimapur chosen
    Dimapur is a major commercial and transportation hub in northeastern India, serving as the primary gateway to the state of Nagaland.
  • B. North Guwahati
    North Guwahati is a town on the northern bank of the Brahmaputra River in Assam, India, known for hosting the campus of the Indian Institute of Technology Guwahati and several historic temples and sites.
  • C. 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.
  • D. Dispur, Assam
    Dispur, Assam is the capital city of the Indian state of Assam and the seat of its government and legislative assembly.
  • E. Dibrugarh
    Dibrugarh is a prominent city in northeastern India known as a major commercial and industrial hub of Assam, especially for its tea industry and oil and natural gas sectors.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa0c89c81909792190f08fef8df completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc9c6e08190aa71d84316afc6d5 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:08 p.m.