Triple

T5932796
Position Surface form Disambiguated ID Type / Status
Subject Coastal Karnataka E131975 entity
Predicate majorCity P316 FINISHED
Object Karwar E102301 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: Karwar | Statement: [Coastal Karnataka, majorCity, Karwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karwar
Context triple: [Coastal Karnataka, majorCity, Karwar]
  • A. Karwar chosen
    Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
  • B. Margao
    Margao is a major commercial and cultural city in South Goa, India, known for its historic Portuguese influence and role as a gateway to nearby beaches.
  • C. Tarapur
    Tarapur is a town in the Anand district of Gujarat, India, known as a local commercial and agricultural center.
  • D. Rajkot
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra region.
  • E. Kolhapur
    Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389df18c81909027a9db7596f0c1 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d216ca481908791d8e891cd3e3a completed March 24, 2026, 4:03 a.m.
Created at: March 22, 2026, 4 p.m.