Triple

T9686483
Position Surface form Disambiguated ID Type / Status
Subject Raichur railway station E234420 entity
Predicate serves P98 FINISHED
Object Raichur city E37145 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: Raichur city | Statement: [Raichur railway station, serves, Raichur city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raichur city
Context triple: [Raichur railway station, serves, Raichur city]
  • A. Raichur chosen
    Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
  • B. 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.
  • C. Yadgir
    Yadgir is a district in the Indian state of Karnataka, known for its agricultural economy and historical forts and temples.
  • D. Karmala
    Karmala is a town in Maharashtra, India, known as a local administrative and commercial center within Solapur district.
  • E. Nagole
    Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd2dab481908e0d3fed28de9d40 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2284e9d0c8190ab09ad1fd0a123e3 completed April 5, 2026, 9:15 a.m.
Created at: March 30, 2026, 8:17 p.m.