Triple

T13975965
Position Surface form Disambiguated ID Type / Status
Subject Kalka–Shimla Railway E336187 entity
Predicate terminus P388 FINISHED
Object Kalka E301628 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: Kalka | Statement: [Kalka–Shimla Railway, terminus, Kalka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalka
Context triple: [Kalka–Shimla Railway, terminus, Kalka]
  • A. Kalka chosen
    Kalka is a town in the Indian state of Haryana, known as a gateway to the Himalayan hill stations and the starting point of the Kalka–Shimla railway.
  • B. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • C. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • D. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Kukanoor
    Kukanoor is a historic village in Karnataka, India, known for its ancient temples and archaeological significance.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e1eb108190b3c0739b94556172 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.