Triple

T1862290
Position Surface form Disambiguated ID Type / Status
Subject La Gomera E34841 entity
Predicate traditionalLanguage P6149 FINISHED
Object Silbo Gomero E207302 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: Silbo Gomero | Statement: [La Gomera, traditionalLanguage, Silbo Gomero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silbo Gomero
Context triple: [La Gomera, traditionalLanguage, Silbo Gomero]
  • A. Silbo Gomero chosen
    Silbo Gomero is a traditional whistled language from the Canary Island of La Gomera, used to communicate across its deep ravines and valleys.
  • B. Kunigami language
    The Kunigami language is a Northern Ryukyuan language spoken in the northern part of Okinawa Island, Japan, and is considered distinct from standard Japanese and severely endangered.
  • C. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • D. Nuʻuuli
    Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
  • E. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf4ecdc08190a264b358d3883f70 completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:34 p.m.