Triple

T18692363
Position Surface form Disambiguated ID Type / Status
Subject Pratishthana E457031 entity
Predicate hasModernCounterpart P32013 FINISHED
Object Paithan 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: Paithan | Statement: [Pratishthana, hasModernCounterpart, Paithan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paithan
Context triple: [Pratishthana, hasModernCounterpart, Paithan]
  • A. Nanded chosen
    Nanded is a historic city in the Indian state of Maharashtra, known as an important Sikh pilgrimage center and a major urban hub in the Marathwada region.
  • B. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • C. Gondia
    Gondia is a district in the Indian state of Maharashtra, known for its rice production and proximity to forests and wildlife reserves.
  • D. Ahmednagar
    Ahmednagar is a historic city in the Indian state of Maharashtra, known for its medieval forts, Mughal-era significance, and role in the Deccan region’s political history.
  • E. Latur
    Latur is a city in the Marathwada region of western India known for its agricultural economy and for being the epicenter of a devastating earthquake in 1993.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e4756881909335e1e7b3c23e28 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.