Triple

T19450629
Position Surface form Disambiguated ID Type / Status
Subject Yars' Revenge E486604 entity
Predicate basedOn P98 FINISHED
Object Star 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: Star Castle | Statement: [Yars' Revenge, basedOn, Star Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star Castle
Context triple: [Yars' Revenge, basedOn, Star Castle]
  • A. Star Castle chosen
    Star Castle is a historic 16th-century star-shaped coastal fortress overlooking Hugh Town on the Isles of Scilly, England, now partly used as a hotel.
  • B. Eye Castle
    Eye Castle is a ruined medieval motte-and-bailey fortress in the town of Eye in Suffolk, England, now a historic site and local tourist attraction.
  • C. The Castle
    The Castle is a surreal, unfinished novel by Franz Kafka that follows a land surveyor’s futile attempts to gain access to a mysterious, bureaucratic authority that governs a remote village.
  • D. The Castle
    The Castle is a historic government building in Jamestown that serves as a key administrative and architectural landmark of the area.
  • E. The Castle
    The Castle is the iconic red sandstone building on the National Mall in Washington, D.C., that serves as the historic headquarters and visitor center of the Smithsonian Institution.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338db7c081908793f23592ebef6b completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.