Triple

T9182863
Position Surface form Disambiguated ID Type / Status
Subject Saga Prefecture E220376 entity
Predicate contains P35 FINISHED
Object Saga Castle E323064 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: Saga Castle | Statement: [Saga Prefecture, contains, Saga Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saga Castle
Context triple: [Saga Prefecture, contains, 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 fortress
    Red Castle fortress is a historic coastal stronghold in Tripoli, Libya, notable for its distinctive red walls and its role as a major landmark and cultural heritage site.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc2553e548190898434aeda517407 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1474a08190aa3e3e90326a20d1 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.