Triple

T23035265
Position Surface form Disambiguated ID Type / Status
Subject Fort Aurangabad E573576 entity
Predicate locatedIn P40 FINISHED
Object Old Dhaka 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: Old Dhaka | Statement: [Fort Aurangabad, locatedIn, Old Dhaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Dhaka
Context triple: [Fort Aurangabad, locatedIn, Old Dhaka]
  • A. Old Dhaka chosen
    Old Dhaka is the historic core of Bangladesh’s capital city, known for its dense, centuries-old urban fabric, vibrant street life, and rich cultural and religious heritage.
  • B. Sher-e-Bangla Nagar
    Sher-e-Bangla Nagar is a prominent government and architectural complex in Dhaka, Bangladesh, best known for housing the National Parliament Building designed by architect Louis Kahn.
  • C. 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.
  • D. Shobhabazar
    Shobhabazar is a historic neighborhood in North Kolkata, India, known for its old aristocratic houses and cultural heritage.
  • E. Dhaka Cantonment
    Dhaka Cantonment is a major military base and administrative area in Dhaka that serves as a central hub for Bangladesh’s armed forces and defense institutions.
  • 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.