Triple

T23035754
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 6 E573588 entity
Predicate serves P98 FINISHED
Object Agargaon 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: Agargaon | Statement: [MRT Line 6, serves, Agargaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agargaon
Context triple: [MRT Line 6, serves, Agargaon]
  • A. Agargaon chosen
    Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
  • B. Rairangpur
    Rairangpur is a town and legislative assembly constituency in the Mayurbhanj district of Odisha, India, known as the political base of President Droupadi Murmu.
  • C. Bhangar
    Bhangar is a town in the South 24 Parganas district of West Bengal, India, known for its semi-urban character and proximity to Kolkata.
  • D. Sunamganj
    Sunamganj is a town and district headquarters in northeastern Bangladesh, known for its wetlands, haor landscapes, and cultural ties to the Greater Sylhet region.
  • E. Sonargaon
    Sonargaon is a historic city in present-day Bangladesh that served as a major political and commercial center in medieval Bengal, renowned for its role in regional trade and Islamic culture.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.