Triple

T18457831
Position Surface form Disambiguated ID Type / Status
Subject Palam E450949 entity
Predicate locatedNear P294 FINISHED
Object Janakpuri 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: Janakpuri | Statement: [Palam, locatedNear, Janakpuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janakpuri
Context triple: [Palam, locatedNear, Janakpuri]
  • A. Janakpuri chosen
    Janakpuri is a prominent residential and commercial neighborhood in West Delhi, India, known for its planned layout, markets, and metro connectivity.
  • B. Baharampur
    Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
  • C. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • D. Kakatpur
    Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
  • E. Basantapur
    Basantapur is a historic square in Kathmandu, Nepal, renowned for its old royal palace, traditional Newar architecture, and role as a central venue for major cultural festivals.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7c18d88190ac17f58111722223 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:31 a.m.