Triple

T23070580
Position Surface form Disambiguated ID Type / Status
Subject Hizen Domain E575181 entity
Predicate capital P234 FINISHED
Object Saga Castle 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: Saga Castle | Statement: [Hizen Domain, capital, Saga Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saga Castle
Context triple: [Hizen Domain, capital, Saga Castle]
  • A. Saga Castle chosen
    Saga Castle is a historic Japanese castle in Saga Prefecture, known for its reconstructed wooden palace and role as a former seat of regional feudal power.
  • B. Leap Castle
    Leap Castle is a historic Irish fortress in County Offaly, reputed to be one of the most haunted castles in the world.
  • C. Drakensteyn Castle
    Drakensteyn Castle is a 17th-century moated country house in the Netherlands best known as the private residence of former Queen Beatrix.
  • D. Red Castle
    Red Castle is a ruined medieval fortress overlooking Lunan Bay on the east coast of Scotland.
  • E. Red Castle
    Red Castle is the alternative English name for Castell Coch, a 19th-century Gothic Revival castle near Cardiff, Wales, famed for its fairy-tale appearance and richly decorated interiors.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5f17348190ab92cfdae9bcaeba completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.