Triple

T7730777
Position Surface form Disambiguated ID Type / Status
Subject Hanumangarh district E175245 entity
Predicate hasMajorTown P316 FINISHED
Object Pilibanga E683987 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: Pilibanga | Statement: [Hanumangarh district, hasMajorTown, Pilibanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilibanga
Context triple: [Hanumangarh district, hasMajorTown, Pilibanga]
  • A. Pilibanga chosen
    Pilibanga is a town in the Hanumangarh district of Rajasthan, India, known for its agricultural markets and proximity to the archaeological site of Kalibangan.
  • B. Banjara
    Banjara are a traditionally nomadic tribal community of India known for their vibrant attire, folk traditions, and history as traders and transporters.
  • C. Bhima Dam
    Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
  • D. Koyna Dam
    Koyna Dam is a large masonry dam in Maharashtra, India, renowned for its major hydroelectric power project and role in water management in the Western Ghats region.
  • E. Mangla Dam
    Mangla Dam is a major multipurpose embankment dam in Pakistan, known for hydroelectric power generation, irrigation support, and being one of the largest dams in the country.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.