Triple

T17670840
Position Surface form Disambiguated ID Type / Status
Subject Pimple Nilakh E440515 entity
Predicate locatedNear P294 FINISHED
Object Pimple Saudagar 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: Pimple Saudagar | Statement: [Pimple Nilakh, locatedNear, Pimple Saudagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pimple Saudagar
Context triple: [Pimple Nilakh, locatedNear, Pimple Saudagar]
  • A. Pimple Saudagar chosen
    Pimple Saudagar is a rapidly developing residential suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its apartment complexes and proximity to the Hinjewadi IT hub.
  • B. Sahiban
    Sahiban is a tragic heroine from the Punjabi romantic epic "Mirza Sahiban," renowned in South Asian folklore for her ill-fated love story with Mirza.
  • C. Rao Sahib
    Rao Sahib was a prominent leader in the Indian Rebellion of 1857, known especially for his role in directing rebel forces in central India.
  • D. Mullah Do-Piyaza
    Mullah Do-Piyaza is a semi-legendary wise man and wit in Mughal folklore, often portrayed as a clever advisor and foil to Emperor Akbar and his court.
  • E. Char Dukan
    Char Dukan is a small, historic cluster of four roadside shops in Landour, Uttarakhand, known for its simple eateries, old-world charm, and popularity with tourists and locals alike.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f68a038819084828ff73bcf1fcc completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.