Triple

T6840581
Position Surface form Disambiguated ID Type / Status
Subject La Rioja E157561 entity
Predicate containsTown P847 FINISHED
Object Haro
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
E623793 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: Haro | Statement: [La Rioja, containsTown, Haro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haro
Context triple: [La Rioja, containsTown, Haro]
  • A. Haría
    Haría is a picturesque municipality and village in the northern part of Lanzarote in Spain’s Canary Islands, known for its lush “Valley of a Thousand Palms” and traditional architecture.
  • B. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • C. Santarosa
    Santarosa was an Italian nobleman and revolutionary best known for his support of Greek independence and his role among the Philhellenes in the Greek War of Independence.
  • D. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • E. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • 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: Haro
Triple: [La Rioja, containsTown, Haro]
Generated description
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haro
Target entity description: Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • A. Haría
    Haría is a picturesque municipality and village in the northern part of Lanzarote in Spain’s Canary Islands, known for its lush “Valley of a Thousand Palms” and traditional architecture.
  • B. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • C. Santarosa
    Santarosa was an Italian nobleman and revolutionary best known for his support of Greek independence and his role among the Philhellenes in the Greek War of Independence.
  • D. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • E. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb4f80081908198c8270633d34a completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c730cdb3c88190802ddda15d8aa52f completed March 28, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c734876ca0819087842bec6e01c02e completed March 28, 2026, 1:53 a.m.
Created at: March 27, 2026, 2:19 p.m.