Triple

T1862269
Position Surface form Disambiguated ID Type / Status
Subject La Gomera E34841 entity
Predicate knownFor P22 FINISHED
Object Silbo Gomero
Silbo Gomero is a traditional whistled language from the Canary Island of La Gomera, used to communicate across its deep ravines and valleys.
E207302 NE FINISHED

How this triple was built (4 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, knownFor, Silbo Gomero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silbo Gomero
Context triple: [La Gomera, knownFor, Silbo Gomero]
  • A. 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.
  • B. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • C. Nuʻuuli
    Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
  • D. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • E. Oshiwambo
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silbo Gomero
Triple: [La Gomera, knownFor, Silbo Gomero]
Generated description
Silbo Gomero is a traditional whistled language from the Canary Island of La Gomera, used to communicate across its deep ravines and valleys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Silbo Gomero
Target entity description: Silbo Gomero is a traditional whistled language from the Canary Island of La Gomera, used to communicate across its deep ravines and valleys.
  • A. 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.
  • B. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • C. Nuʻuuli
    Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
  • D. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • E. Oshiwambo
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • F. None of above. chosen

Provenance (5 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_69add1d026748190a507872de85c908d completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add27390b08190942b1fa6fcab1e44 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add305bd108190b5e7e0f3d30a2c58 completed March 8, 2026, 7:50 p.m.
Created at: March 4, 2026, 7:34 p.m.