Triple

T7904223
Position Surface form Disambiguated ID Type / Status
Subject Garafía E183530 entity
Predicate borders P224 FINISHED
Object Tijarafe E183532 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: Tijarafe | Statement: [Garafía, borders, Tijarafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tijarafe
Context triple: [Garafía, borders, Tijarafe]
  • A. Tijarafe chosen
    Tijarafe is a small rural municipality on the northwest coast of the Canary Island of La Palma, known for its dramatic cliffs, traditional agriculture, and scenic Atlantic views.
  • B. Alcochete
    Alcochete is a town in Portugal, near Lisbon on the south bank of the Tagus River, known historically as the birthplace of King Manuel I and for its traditional fishing and salt industries.
  • C. Tarajalejo
    Tarajalejo is a coastal village and tourist resort on the island of Fuerteventura in Spain’s Canary Islands.
  • D. Putaendo
    Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
  • E. Tiendesitas
    Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a4331cc8190b50301c78767a850 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bc35cec8190bda3dfe7d8d4ed18 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.