Triple

T3177539
Position Surface form Disambiguated ID Type / Status
Subject Eastern Naval Command E66500 entity
Predicate primaryNavalBase P27926 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: [Eastern Naval Command, primaryNavalBase, Visakhapatnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visakhapatnam
Context triple: [Eastern Naval Command, primaryNavalBase, 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. Nellore
    Nellore is a prominent coastal city in southeastern India known for its agriculture, aquaculture, and role as an administrative and commercial center in Andhra Pradesh.
  • D. 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.
  • E. 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.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69c2edc81908bfd23a1d5ce970e completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b7076d48190b614e4b48965e0b4 completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.