Triple

T21636169
Position Surface form Disambiguated ID Type / Status
Subject Bealanana District E533963 entity
Predicate hasCapital P204 FINISHED
Object Bealanana 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: Bealanana | Statement: [Bealanana District, hasCapital, Bealanana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bealanana
Context triple: [Bealanana District, hasCapital, Bealanana]
  • A. Bealanana chosen
    Bealanana is a town in northern Madagascar that serves as a local center for communities near the Tsaratanana Massif.
  • B. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • C. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • D. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • E. Balara
    Balara is a municipality-level city in southeastern Nepal’s Madhesh Province, known for its agrarian economy and proximity to the Indian border.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538ddb088190a3cba6fdc84c0ae8 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.