Triple

T1409554
Position Surface form Disambiguated ID Type / Status
Subject South India E31773 entity
Predicate includes P1393 FINISHED
Object Andhra Pradesh E33989 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: Andhra Pradesh | Statement: [South India, includes, Andhra Pradesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andhra Pradesh
Context triple: [South India, includes, Andhra Pradesh]
  • A. Andhra Pradesh chosen
    Andhra Pradesh is a state in southeastern India known for its long coastline along the Bay of Bengal, Telugu-speaking population, and major cities such as Visakhapatnam and Vijayawada.
  • B. Andhra State
    Andhra State was a short-lived Telugu-speaking state in independent India, formed in 1953 from the northern districts of the former Madras State and later merged into Andhra Pradesh.
  • C. Telangana
    Telangana is a state in south-central India known for its predominantly Telugu-speaking population, rich Deccan heritage, and capital city Hyderabad.
  • D. Rayalaseema
    Rayalaseema is a region in the southern part of Andhra Pradesh, India, known for its distinctive cultural identity, semi-arid landscape, and major pilgrimage centers.
  • E. Tamil Nadu
    Tamil Nadu is a state in southern India known for its rich Dravidian cultural heritage, classical arts, and major urban centers like Chennai.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae515ce1b0819089603a3e0f6b1933 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:59 p.m.