Triple

T23151233
Position Surface form Disambiguated ID Type / Status
Subject Kalingapatnam E578327 entity
Predicate nearestCity P350 FINISHED
Object Srikakulam 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: Srikakulam | Statement: [Kalingapatnam, nearestCity, Srikakulam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srikakulam
Context triple: [Kalingapatnam, nearestCity, Srikakulam]
  • A. Srikakulam chosen
    Srikakulam is a city in the northeastern part of Andhra Pradesh, India, known as a regional administrative and commercial center near the Bay of Bengal.
  • B. Kaniguram
    Kaniguram is a historic town in South Waziristan, Pakistan, known as a traditional center of the Ormur (Burki) ethnic community.
  • C. Srikurmam
    Srikurmam is a renowned Hindu pilgrimage site in Andhra Pradesh, India, famous for its ancient temple dedicated to Kurma, the tortoise incarnation of Vishnu.
  • D. Banaganapalle
    Banaganapalle is a town and legislative assembly constituency in the Nandyal district of Andhra Pradesh, India, known historically for its mangoes and regional political significance.
  • E. Anakapalli
    Anakapalli is a town and municipality in the Indian state of Andhra Pradesh, known historically as a major jaggery trading center and now part of the urban area of Visakhapatnam.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ef982488190984a6358bdcd577c completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.