Triple

T7467870
Position Surface form Disambiguated ID Type / Status
Subject Dima Hasao district E176420 entity
Predicate hasMajorTown P316 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: [Dima Hasao district, hasMajorTown, Umrangso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umrangso
Context triple: [Dima Hasao district, hasMajorTown, 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f6f23881908e3e80b0c7335a15 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5f1f408190a7d42abe28605ddb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:40 p.m.