Triple

T22585750
Position Surface form Disambiguated ID Type / Status
Subject Salem Airport E564786 entity
Predicate locatedIn P40 FINISHED
Object Kaamalapuram 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: Kaamalapuram | Statement: [Salem Airport, locatedIn, Kaamalapuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaamalapuram
Context triple: [Salem Airport, locatedIn, Kaamalapuram]
  • A. Kaamalapuram chosen
    Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
  • B. Amalapuram
    Amalapuram is a town in the Konaseema region of Andhra Pradesh, India, known as a regional educational and commercial center surrounded by lush coconut and paddy fields.
  • C. Kotturpuram
    Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
  • D. Pariyapuram
    Pariyapuram is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
  • E. Ettayapuram
    Ettayapuram is a town in Tamil Nadu, India, best known as the birthplace of the renowned poet and Indian independence activist Subramania Bharati.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615c18f88190ad4f23639d15f337 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:45 p.m.