Triple

T10736683
Position Surface form Disambiguated ID Type / Status
Subject Kundapura taluk E253212 entity
Predicate administrativeCentre P1474 FINISHED
Object Kundapura E262300 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: Kundapura | Statement: [Kundapura taluk, administrativeCentre, Kundapura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kundapura
Context triple: [Kundapura taluk, administrativeCentre, Kundapura]
  • A. Kundapura chosen
    Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
  • B. Bhatkal
    Bhatkal is a historic coastal town in Karnataka, India, known for its Arabian Sea shoreline, trading legacy, and distinctive Nawayath Muslim culture.
  • C. Gorikot
    Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
  • D. Battakundi
    Battakundi is a small scenic village and tourist stopover located in Pakistan’s mountainous Kaghan Valley.
  • E. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71022aee0819091a5790d3dee6777 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2162f1f648190b325c7e7647b543e completed April 17, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:14 p.m.