Triple

T859635
Position Surface form Disambiguated ID Type / Status
Subject Tirupati E18570 entity
Predicate state P87 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: [Tirupati, state, Andhra Pradesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andhra Pradesh
Context triple: [Tirupati, state, 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. 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.
  • E. Karnataka
    Karnataka is a state in southwestern India known for its diverse languages and cultures, major tech hub Bengaluru, and rich historical and architectural heritage.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac50e5ec81908ac0c4b7123b4ebb completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f094888190b3ccb2acb266941c completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:39 p.m.