Triple

T16781758
Position Surface form Disambiguated ID Type / Status
Subject Terra Alta DO E407872 entity
Predicate hasWind P2044 FINISHED
Object Cierzo
Cierzo is a strong, dry, and often cold northwesterly wind characteristic of the Ebro Valley and surrounding regions in northeastern Spain.
 E1234149 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: Cierzo | Statement: [Terra Alta DO, hasWind, Cierzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cierzo
Context triple: [Terra Alta DO, hasWind, Cierzo]
  • A. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • B. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • C. Lezgi
    Lezgi is the name of a Northeast Caucasian ethnic group primarily inhabiting southern Dagestan in Russia and northern Azerbaijan, known for their distinct Lezgian language and rich cultural traditions.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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: Cierzo
Triple: [Terra Alta DO, hasWind, Cierzo]
Generated description
Cierzo is a strong, dry, and often cold northwesterly wind characteristic of the Ebro Valley and surrounding regions in northeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cierzo
Target entity description: Cierzo is a strong, dry, and often cold northwesterly wind characteristic of the Ebro Valley and surrounding regions in northeastern Spain.
  • A. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • B. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • C. Lezgi
    Lezgi is the name of a Northeast Caucasian ethnic group primarily inhabiting southern Dagestan in Russia and northern Azerbaijan, known for their distinct Lezgian language and rich cultural traditions.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b216726881908ddc9cdc772cd5e4 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0300e48190ad088cd11098ca34 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00aba5fb388190ab98a0c8ee50340b completed May 10, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_6a00ac54a11c81909afe9244e9fe0656 completed May 10, 2026, 4:03 p.m.
Created at: April 10, 2026, 5:22 a.m.