Triple

T11315499
Position Surface form Disambiguated ID Type / Status
Subject Banavasi E267954 entity
Predicate nearestCity P350 FINISHED
Object Shivamogga E174444 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: Shivamogga | Statement: [Banavasi, nearestCity, Shivamogga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shivamogga
Context triple: [Banavasi, nearestCity, Shivamogga]
  • A. Shivamogga chosen
    Shivamogga is a city in the Malnad region of Karnataka, India, known for its scenic landscapes, proximity to waterfalls like Jog Falls, and role as a regional commercial and educational hub.
  • B. Gadag
    Gadag is a historic town in Karnataka, India, renowned for its richly carved medieval temples and monuments from the Western Chalukya architectural tradition.
  • C. Sullia
    Sullia is a town in the Dakshina Kannada district of Karnataka, India, known as a local commercial and educational center in the region.
  • D. Yadgir
    Yadgir is a district in the Indian state of Karnataka, known for its agricultural economy and historical forts and temples.
  • E. Davangere
    Davangere is a major city in central Karnataka, India, known for its textile industry, educational institutions, and distinctive local cuisine such as Davangere benne dosa.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.