Triple

T14876352
Position Surface form Disambiguated ID Type / Status
Subject Begumpet railway station E349876 entity
Predicate locatedIn P40 FINISHED
Object Begumpet E1082308 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: Begumpet | Statement: [Begumpet railway station, locatedIn, Begumpet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begumpet
Context triple: [Begumpet railway station, locatedIn, Begumpet]
  • A. Begumpet chosen
    Begumpet is a prominent neighborhood in Hyderabad, India, known for its commercial centers, residential areas, and historical significance as the site of the former Begumpet Airport.
  • B. Bakumpai
    The Bakumpai are an indigenous Dayak ethnic group of central Kalimantan, Indonesia, traditionally living along the Barito River and known for their distinct language and river-based culture.
  • C. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • D. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • E. Ngaluma
    Ngaluma is an Aboriginal Australian people traditionally associated with the coastal and inland regions of the Pilbara in Western Australia.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b54ad7c819082575245da07e358 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.