Triple

T22554719
Position Surface form Disambiguated ID Type / Status
Subject Malew E557650 entity
Predicate hasSettlement P1068 FINISHED
Object Ballasalla 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: Ballasalla | Statement: [Malew, hasSettlement, Ballasalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballasalla
Context triple: [Malew, hasSettlement, Ballasalla]
  • A. Ballasalla chosen
    Ballasalla is a small village on the Isle of Man, known for its historic Rushen Abbey and proximity to the island’s former capital, Castletown.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Balla
    Balla is an Italian surname most notably associated with Giacomo Balla, a leading painter of the Futurist movement.
  • D. Ballarò
    Ballarò is a historic and bustling open-air street market in Palermo, Sicily, known for its vibrant atmosphere, fresh produce, and traditional Sicilian street food.
  • E. Balanjar
    Balanjar was an early medieval city in the North Caucasus that served as one of the principal political and military centers of the Khazar Khaganate.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f780fb88190836408c6de3d3966 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.