Triple

T20851203
Position Surface form Disambiguated ID Type / Status
Subject Jawali E513366 entity
Predicate hasNearbyTown P3883 FINISHED
Object Nurpur 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: Nurpur | Statement: [Jawali, hasNearbyTown, Nurpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nurpur
Context triple: [Jawali, hasNearbyTown, Nurpur]
  • A. Nurpur chosen
    Nurpur is a historic town in the Kangra district of Himachal Pradesh, India, known for its ancient fort and temples amid scenic Himalayan foothills.
  • B. Nishapuri
    Nishapuri refers to the Iranian-origin Nishapurid dynasty from which the Nawabs of Awadh claimed descent.
  • C. Kasauli
    Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
  • D. Tanakpur
    Tanakpur is a small town in Uttarakhand, India, known as a gateway to the Kumaon region and a key transit point to the neighboring country of Nepal.
  • E. Jhalrapatan
    Jhalrapatan is a historic town in Rajasthan, India, known for its ancient temples and role as an important cultural and religious center in the region.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a3d8808190b8efce77ae36850e completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:43 p.m.