Triple

T14377286
Position Surface form Disambiguated ID Type / Status
Subject Gutar E356506 entity
Predicate selfDesignation P974 FINISHED
Object Gutar E356506 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: Gutar | Statement: [Gutar, selfDesignation, Gutar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutar
Context triple: [Gutar, selfDesignation, Gutar]
  • A. Gutar chosen
    Gutar are the historical inhabitants of the Swedish island of Gotland, known from medieval sources such as the Gutasaga for their distinct culture, laws, and extensive Baltic Sea trade.
  • B. Gitarja
    Gitarja, also known as Tribhuwana Wijayatunggadewi, was a 14th-century Javanese queen of the Majapahit Empire who significantly expanded its territory and influence.
  • C. Gitarzan
    Gitarzan is a 1969 novelty song by Ray Stevens that humorously portrays a jungle man turned rock musician, blending comedy with pop and rock elements.
  • D. Bandurria
    Bandurria is an ancient preceramic archaeological site on Peru’s central coast, notable for its early monumental architecture and role in the development of Andean civilization.
  • E. Shitara
    Shitara is a rural town in central Japan known for its mountainous landscapes and traditional countryside character within Aichi Prefecture.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.