Triple

T17190878
Position Surface form Disambiguated ID Type / Status
Subject Neopalatial period E417223 entity
Predicate majorSite P2462 FINISHED
Object Kato Zakros E393053 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: Kato Zakros | Statement: [Neopalatial period, majorSite, Kato Zakros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kato Zakros
Context triple: [Neopalatial period, majorSite, Kato Zakros]
  • A. Kato Zakros chosen
    Kato Zakros is a coastal village and archaeological site on the eastern coast of Crete, known for the remains of a significant Minoan palace complex.
  • B. Kitakata
    Kitakata is a city in northern Japan renowned for its traditional kura storehouses and distinctive Kitakata-style ramen.
  • C. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • D. Muchita
    Muchita is a surname, notably borne by individuals such as the artist known as Havoc.
  • E. Kotoden
    Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d9983e881909217ec2abe652bde completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674a3a78819094c093daac0e508d completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:37 a.m.