Triple

T22087932
Position Surface form Disambiguated ID Type / Status
Subject Asan River E545832 entity
Predicate nearbyTown P3883 FINISHED
Object Vikasnagar NE NERFINISHED

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: Vikasnagar | Statement: [Asan River, nearbyTown, Vikasnagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vikasnagar
Context triple: [Asan River, nearbyTown, Vikasnagar]
  • A. Vikasnagar chosen
    Vikasnagar is a town in the Indian state of Uttarakhand known as a commercial and agricultural hub near the foothills of the Himalayas.
  • B. Siddharthnagar
    Siddharthnagar is a town and district headquarters in the Purvanchal region of eastern Uttar Pradesh, India, known for its proximity to important Buddhist heritage sites.
  • C. Raisinghnagar
    Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
  • D. Siddharthanagar
    Siddharthanagar is a city in southern Nepal that serves as an important commercial and administrative center near the Indian border.
  • E. Jogindernagar
    Jogindernagar is a town in the Indian state of Himachal Pradesh, known for its scenic Himalayan setting and historic hydroelectric power projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.