Triple

T19815231
Position Surface form Disambiguated ID Type / Status
Subject NH 65 E476042 entity
Predicate passesThroughCity P416 FINISHED
Object Vijayawada 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: Vijayawada | Statement: [NH 65, passesThroughCity, Vijayawada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijayawada
Context triple: [NH 65, passesThroughCity, Vijayawada]
  • A. Vijayawada chosen
    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.
  • B. Eluru
    Eluru is a city in the Indian state of Andhra Pradesh, known as a regional administrative and commercial center with historical significance and connectivity along major transport routes.
  • C. 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.
  • D. Secunderabad
    Secunderabad is a major twin city of Hyderabad in the Indian state of Telangana, known as an important commercial and transportation hub with a significant military presence.
  • E. Sri City
    Sri City is a large integrated business and industrial hub in Andhra Pradesh, India, known for its special economic zones and cluster of multinational manufacturing and logistics companies.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f861248190a633dd8d227d9697 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.