Triple

T11234832
Position Surface form Disambiguated ID Type / Status
Subject Rangpo River E265915 entity
Predicate flowsNear P350 FINISHED
Object Rangpo town E913082 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: Rangpo town | Statement: [Rangpo River, flowsNear, Rangpo town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangpo town
Context triple: [Rangpo River, flowsNear, Rangpo town]
  • A. Rangpo chosen
    Rangpo is a small town in the Indian state of Sikkim, known as a key gateway to the region and an important transit and trade point near the Sikkim–West Bengal border.
  • B. Phuentsholing
    Phuentsholing is a major Bhutanese border town and commercial hub located on the frontier with India, serving as a key gateway into the country.
  • C. Marpha
    Marpha is a picturesque Thakali village in Nepal’s Mustang region, known for its traditional stone houses, apple orchards, and role as a popular stop on the Annapurna Circuit trekking route.
  • D. Punakha
    Punakha is a historic town in western Bhutan that served as the country’s former capital and is known for the majestic Punakha Dzong at the meeting of two rivers.
  • E. Tawang
    Tawang is a remote Himalayan town in northeastern India known for its large 17th-century Buddhist monastery and scenic mountain landscapes near the India–China border.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc5bcff08190830d09c9aa0187b2 completed April 19, 2026, 12:36 p.m.
Created at: April 8, 2026, 9:30 p.m.