Triple

T19815042
Position Surface form Disambiguated ID Type / Status
Subject Hosur E476037 entity
Predicate hasRailwayStation P918 FINISHED
Object Hosur railway station 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: Hosur railway station | Statement: [Hosur, hasRailwayStation, Hosur railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hosur railway station
Context triple: [Hosur, hasRailwayStation, Hosur railway station]
  • A. Hosur station chosen
    Hosur station is a key railway hub serving the industrial town of Hosur and connecting it with Bengaluru and other major destinations in southern India.
  • B. Tiruppur railway station
    Tiruppur railway station is a key rail hub in Tamil Nadu, India, serving the textile city of Tiruppur with passenger and express train connections to major destinations.
  • C. Devanahalli station
    Devanahalli station is a key railway hub serving the Devanahalli area near Bengaluru, providing important regional and suburban rail connectivity.
  • D. Tumakuru station
    Tumakuru station is a key railway junction in Karnataka, India, serving as an important hub for passenger and regional rail traffic within the Bengaluru railway network.
  • E. Challaghatta station
    Challaghatta station is a metro station in Bengaluru, India, serving as one end of the Namma Metro’s Purple Line.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f861248190a633dd8d227d9697 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.