Triple

T16887532
Position Surface form Disambiguated ID Type / Status
Subject Asianet E421576 entity
Predicate secondaryOfficeLocation P7992 FINISHED
Object Kochi 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: Kochi | Statement: [Asianet, secondaryOfficeLocation, Kochi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kochi
Context triple: [Asianet, secondaryOfficeLocation, Kochi]
  • A. Kochi
    Kochi is a coastal city on Japan’s Shikoku Island known for its historic castle, vibrant markets, and scenic Pacific shoreline.
  • B. Kochi chosen
    Kochi is a major port city on the southwest coast of India, known for its historic spice trade, multicultural heritage, and role as a commercial hub in the state of Kerala.
  • C. Kōchi City
    Kōchi City is a coastal city on Japan’s Shikoku island known for its historic castle, markets like Hirome Ichiba, and scenic rivers and mountains.
  • D. Kochi metropolitan area
    The Kochi metropolitan area is a major urban and commercial hub in the Indian state of Kerala, centered on the port city of Kochi and known for its maritime trade, tourism, and service industries.
  • E. Kaga City
    Kaga City is a hot spring resort city in southern Ishikawa Prefecture, Japan, known for its historic onsen towns, traditional crafts, and scenic natural surroundings.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:29 a.m.