Triple

T6826101
Position Surface form Disambiguated ID Type / Status
Subject La Orotava E157018 entity
Predicate borders P224 FINISHED
Object Arafo
Arafo is a small municipality on the island of Tenerife in Spain’s Canary Islands, known for its rural landscapes and traditional Canarian character.
 E621621 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: Arafo | Statement: [La Orotava, borders, Arafo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arafo
Context triple: [La Orotava, borders, Arafo]
  • A. Harar
    Harar is a historic fortified city in eastern Ethiopia renowned for its ancient Islamic heritage, distinctive city walls, and status as a UNESCO World Heritage Site.
  • B. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • C. Taiz
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • D. Hamina
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • E. Al-Majma'ah
    Al-Majma'ah is a town in central Saudi Arabia, located in the Najd region and serving as an important local administrative and cultural center.
  • 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: Arafo
Triple: [La Orotava, borders, Arafo]
Generated description
Arafo is a small municipality on the island of Tenerife in Spain’s Canary Islands, known for its rural landscapes and traditional Canarian character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arafo
Target entity description: Arafo is a small municipality on the island of Tenerife in Spain’s Canary Islands, known for its rural landscapes and traditional Canarian character.
  • A. Harar
    Harar is a historic fortified city in eastern Ethiopia renowned for its ancient Islamic heritage, distinctive city walls, and status as a UNESCO World Heritage Site.
  • B. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • C. Taiz
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • D. Hamina
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • E. Al-Majma'ah
    Al-Majma'ah is a town in central Saudi Arabia, located in the Najd region and serving as an important local administrative and cultural center.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58375248190935dd38d618994e3 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f12a148190adbb05782a2041b6 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7251ec97c819094fb2a73ac1d1d0e completed March 28, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69c725d04d988190a4a6a1c73056cfd7 completed March 28, 2026, 12:50 a.m.
Created at: March 27, 2026, 2:18 p.m.