Triple

T22019825
Position Surface form Disambiguated ID Type / Status
Subject Ahmednagar railway station E543811 entity
Predicate locatedIn P40 FINISHED
Object Ahmednagar 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: Ahmednagar | Statement: [Ahmednagar railway station, locatedIn, Ahmednagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmednagar
Context triple: [Ahmednagar railway station, locatedIn, Ahmednagar]
  • A. Ahmednagar chosen
    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.
  • B. Paithan
    Paithan is an ancient town in Maharashtra, India, historically significant as a major political and cultural center of the Satavahana dynasty.
  • C. 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.
  • D. Bijapur
    Bijapur is a historic city in the Indian state of Karnataka, renowned for its rich Islamic architecture and monuments from the medieval Deccan period.
  • E. Nanded
    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.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c6b5fc8190bc49ddb058f28a44 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.