Triple

T18538384
Position Surface form Disambiguated ID Type / Status
Subject Midnapore railway station E453023 entity
Predicate serves P98 FINISHED
Object Midnapore city 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: Midnapore city | Statement: [Midnapore railway station, serves, Midnapore city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midnapore city
Context triple: [Midnapore railway station, serves, Midnapore city]
  • A. Midnapore chosen
    Midnapore is a historic town in the Indian state of West Bengal, known for its role in the Indian independence movement and its rich cultural and educational heritage.
  • B. Chandanagar
    Chandanagar is a residential and commercial suburb in the northwestern part of Hyderabad, India, known for its proximity to IT hubs and growing urban infrastructure.
  • C. Adityapur
    Adityapur is a major industrial township in Jharkhand, India, known for its large concentration of manufacturing and engineering units.
  • D. Bolpur
    Bolpur is a town in West Bengal, India, best known as the gateway to Santiniketan, the cultural and educational hub founded by Rabindranath Tagore.
  • E. Muktainagar
    Muktainagar is a town in the Jalgaon district of Maharashtra, India, known primarily as an agricultural and trading center in the region.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534030bd88190b25b95305a12a0c1 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.