Triple

T14522567
Position Surface form Disambiguated ID Type / Status
Subject Indian Naval Academy E340688 entity
Predicate near P350 FINISHED
Object Payyanur E1114911 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: Payyanur | Statement: [Indian Naval Academy, near, Payyanur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payyanur
Context triple: [Indian Naval Academy, near, Payyanur]
  • A. Payyanur chosen
    Payyanur is a town in the Kannur district of northern Kerala, India, known for its cultural heritage, Theyyam performances, and traditional crafts such as brass and bell metal work.
  • B. Kotturpuram
    Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
  • C. Perumbavoor
    Perumbavoor is a town in the Indian state of Kerala known as a commercial hub for the timber and plywood industries and as a gateway to the eastern parts of Ernakulam district.
  • D. Pudukkottai
    Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
  • E. Pattukkottai
    Pattukkottai is a town in the Thanjavur district of Tamil Nadu, India, known for its agricultural economy and role as a regional commercial center.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcf67348190862c65faa1c815f0 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:22 a.m.