Triple

T14518137
Position Surface form Disambiguated ID Type / Status
Subject Byappanahalli–M.G. Road E340577 entity
Predicate terminusStation P15150 FINISHED
Object Byappanahalli E1107604 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: Byappanahalli | Statement: [Byappanahalli–M.G. Road, terminusStation, Byappanahalli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byappanahalli
Context triple: [Byappanahalli–M.G. Road, terminusStation, Byappanahalli]
  • A. Byappanahalli chosen
    Byappanahalli is a major neighborhood and transport hub in eastern Bengaluru, India, known for its metro terminal, railway station, and connectivity to the city center.
  • B. Devanahalli
    Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
  • C. Bhadravan
    Bhadravan is one of the twelve sacred forests of Vraja associated with the pastimes of Lord Krishna in Hindu tradition.
  • D. Nayandahalli
    Nayandahalli is a locality in southwestern Bangalore known as a key junction and residential area along major transport routes.
  • E. Thippagondanahalli
    Thippagondanahalli is a village in Karnataka, India, best known for the nearby Thippagondanahalli Dam that serves as a major water source for Bengaluru.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90e1778819095f5ac8848120098 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:22 a.m.