Triple

T27893317
Position Surface form Disambiguated ID Type / Status
Subject Haro, La Rioja, Spain E705415 entity
Predicate wineBattleLocation P163753 FINISHED
Object Cliffs of Bilibio near Haro
The Cliffs of Bilibio near Haro are a dramatic rocky outcrop in La Rioja, Spain, best known as the scenic setting for the annual Haro Wine Battle festival.
 E1794746 NE FINISHED

How this triple was built (3 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: Cliffs of Bilibio near Haro | Statement: [Haro, La Rioja, Spain, wineBattleLocation, Cliffs of Bilibio near Haro]
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: Cliffs of Bilibio near Haro
Triple: [Haro, La Rioja, Spain, wineBattleLocation, Cliffs of Bilibio near Haro]
Generated description
The Cliffs of Bilibio near Haro are a dramatic rocky outcrop in La Rioja, Spain, best known as the scenic setting for the annual Haro Wine Battle festival.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wineBattleLocation
Context triple: [Haro, La Rioja, Spain, wineBattleLocation, Cliffs of Bilibio near Haro]
  • A. wineRoute
    Indicates a route or path specifically associated with wine-related locations or activities, such as vineyards, wineries, or wine tours.
  • B. wineAVA
    Indicates that a wine is produced within a specific American Viticultural Area (AVA) designation.
  • C. wineMuseumLocation
    Indicates that a wine museum is located at or associated with a particular place or geographic location.
  • D. wineTourism
    Indicates a relationship where tourism activities are specifically centered around visiting wine-producing regions, wineries, and related wine experiences.
  • E. wineFestivalHeldOn
    Indicates that a wine festival event takes place on a specific date or day.
  • F. None of above. chosen

Provenance (7 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_69ef96b490ac8190a412d04c5d009f3e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63c045bd081908e0cb2a119202e8f completed May 2, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a130360a024819080fe9422bb53342f completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a1304306b688190b128a526eea2486e completed May 24, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a130625d7a48190a885048db3b29854 completed May 24, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63b3039808190b00bbd19161487f3 completed May 2, 2026, 5:58 p.m.
Created at: April 27, 2026, 6:37 p.m.