Triple

T7409582
Position Surface form Disambiguated ID Type / Status
Subject Guanche language E170965 entity
Predicate sourceOfWord P5801 FINISHED
Object "Teguise" E180897 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: "Teguise" | Statement: [Guanche language, sourceOfWord, "Teguise"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Teguise"
Context triple: [Guanche language, sourceOfWord, "Teguise"]
  • A. Teguise chosen
    Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
  • B. Alquézar
    Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
  • C. Corralejo
    Corralejo is a popular resort town on the northern coast of Fuerteventura in Spain’s Canary Islands, known for its sandy beaches, dunes, and water sports.
  • D. Aravaca
    Aravaca is a residential neighborhood in the Moncloa-Aravaca district of Madrid, Spain, known for its affluent character and proximity to the city center.
  • E. Yaiza
    Yaiza is a coastal municipality on the Spanish island of Lanzarote in the Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f4eb5c808190ba08956bcf297ea8 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c811244df081909b63e085d2272cd2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.