Triple

T11500215
Position Surface form Disambiguated ID Type / Status
Subject Achanakmar-Amarkantak Biosphere Reserve E272642 entity
Predicate nearestCity P350 FINISHED
Object Bilaspur E205384 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: Bilaspur | Statement: [Achanakmar-Amarkantak Biosphere Reserve, nearestCity, Bilaspur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilaspur
Context triple: [Achanakmar-Amarkantak Biosphere Reserve, nearestCity, Bilaspur]
  • A. Bilaspur chosen
    Bilaspur is a major city in the Indian state of Chhattisgarh, known as an important administrative, commercial, and judicial center.
  • B. Bilaspur
    Bilaspur is a town in the Yamunanagar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • C. Bilaspur
    Bilaspur is a town in the Rampur district of Uttar Pradesh, India, known as a local commercial and administrative center for surrounding rural areas.
  • D. Bilaspuri
    Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
  • E. Hamirpur
    Hamirpur is a town and district headquarters in the Bundelkhand region of Uttar Pradesh, India, known for its location near the confluence of the Yamuna and Betwa rivers.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86853e088190a9c1378aad45fa18 completed April 26, 2026, 9:41 p.m.
Created at: April 8, 2026, 9:36 p.m.