Triple

T923426
Position Surface form Disambiguated ID Type / Status
Subject Royal Indian Navy mutiny E19931 entity
Predicate location P40 FINISHED
Object Visakhapatnam E34854 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: Visakhapatnam | Statement: [Royal Indian Navy mutiny, location, Visakhapatnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visakhapatnam
Context triple: [Royal Indian Navy mutiny, location, Visakhapatnam]
  • A. Kakinada
    Kakinada is a coastal city in the Indian state of Andhra Pradesh, known for its port, seafood industry, and role as a regional commercial hub.
  • B. Vizagapatam chosen
    Vizagapatam, now commonly known as Visakhapatnam, is a major coastal city and port on the Bay of Bengal in present-day Andhra Pradesh, India.
  • C. Rajahmundry
    Rajahmundry is a historic city in the Indian state of Andhra Pradesh, known as a major cultural and commercial center in the Godavari region.
  • D. Guntur
    Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
  • E. Vijayawada
    Vijayawada is a major commercial and cultural city in the Indian state of Andhra Pradesh, known as a key transportation hub and an important center for trade, education, and politics in the region.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b314f6fc81908a3ccc2e741e3c2b completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933a103908190a624039492079f82 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.