Triple

T3586005
Position Surface form Disambiguated ID Type / Status
Subject Tarifa E75909 entity
Predicate windType P37481 FINISHED
Object Poniente
Poniente is a westerly wind common in southern Spain, particularly in the Strait of Gibraltar area, known for bringing cooler, more humid Atlantic air.
 E371181 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: Poniente | Statement: [Tarifa, windType, Poniente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poniente
Context triple: [Tarifa, windType, Poniente]
  • A. Velorama
    Velorama is a Dutch national bicycle museum in Nijmegen that showcases the history and development of bicycles through an extensive collection of historic bikes and related artifacts.
  • B. Mariposa
    Mariposa is a small historic town in central California known for its Gold Rush heritage and proximity to Yosemite National Park.
  • C. Salmerón
    Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
  • D. Redonda
    Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
  • E. Madrona
    Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
  • 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: Poniente
Triple: [Tarifa, windType, Poniente]
Generated description
Poniente is a westerly wind common in southern Spain, particularly in the Strait of Gibraltar area, known for bringing cooler, more humid Atlantic air.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poniente
Target entity description: Poniente is a westerly wind common in southern Spain, particularly in the Strait of Gibraltar area, known for bringing cooler, more humid Atlantic air.
  • A. Velorama
    Velorama is a Dutch national bicycle museum in Nijmegen that showcases the history and development of bicycles through an extensive collection of historic bikes and related artifacts.
  • B. Mariposa
    Mariposa is a small historic town in central California known for its Gold Rush heritage and proximity to Yosemite National Park.
  • C. Salmerón
    Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
  • D. Redonda
    Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
  • E. Madrona
    Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc137eb708190809cd52b6deb227c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402fcc5f481909c66319f75a8dc85 completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b406d014d88190b488b9b1f70fecca completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b4086f6da4819084778dffa33ef116 completed March 13, 2026, 12:51 p.m.
Created at: March 8, 2026, 3:22 p.m.