Triple

T14299473
Position Surface form Disambiguated ID Type / Status
Subject Danapur subdivision E354523 entity
Predicate administrativeCentre P1474 FINISHED
Object Danapur E354522 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: Danapur | Statement: [Danapur subdivision, administrativeCentre, Danapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danapur
Context triple: [Danapur subdivision, administrativeCentre, Danapur]
  • A. Danapur chosen
    Danapur is a cantonment town near Patna in the Indian state of Bihar, known for its historical military significance and role as a major railway junction.
  • B. Dinas
    Dinas is a village in Gwynedd, Wales, known as a key station and junction on the heritage Welsh Highland Railway near Caernarfon.
  • C. Damrak
    Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
  • D. Nawada
    Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
  • E. Duri
    Duri is an Austronesian language spoken by the Duri people of South Sulawesi, Indonesia.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4682f86881908c9fb210bb9e486a completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.