Triple

T8073271
Position Surface form Disambiguated ID Type / Status
Subject North Cachar Hills E188427 entity
Predicate containsSettlement P847 FINISHED
Object Umrangso E667224 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: Umrangso | Statement: [North Cachar Hills, containsSettlement, Umrangso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umrangso
Context triple: [North Cachar Hills, containsSettlement, Umrangso]
  • A. Umrangso chosen
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • B. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • C. Jitra
    Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
  • D. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • E. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ecb04881909b1849dc4ef7c2bc completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.