Triple

T8597095
Position Surface form Disambiguated ID Type / Status
Subject Álava E203577 entity
Predicate hasImportantTown P14082 FINISHED
Object Oyón-Oion
Oyón-Oion is a town in the province of Álava in Spain’s Basque Country, known for its wine production within the Rioja Alavesa region.
 E746303 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: Oyón-Oion | Statement: [Álava, hasImportantTown, Oyón-Oion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oyón-Oion
Context triple: [Álava, hasImportantTown, Oyón-Oion]
  • A. Oyón
    Oyón is a town in Peru that serves as the administrative and commercial center of the surrounding Oyón Province in the highlands.
  • B. Oneroa
    Oneroa is the main village and commercial hub of Waiheke Island in New Zealand, known for its beaches, cafes, and relaxed coastal atmosphere.
  • C. Ojojona
    Ojojona is a historic town in southern Honduras known for its colonial architecture and traditional crafts.
  • D. Otuocha
    Otuocha is a town in southeastern Nigeria that serves as the administrative headquarters of the Anambra East Local Government Area in Anambra State.
  • E. Oeyo
    Oeyo was a prominent noblewoman of Japan’s late Sengoku and early Edo periods, best known as the daughter of Azai Nagamasa and Oichi and the mother of the third Tokugawa shogun, Iemitsu.
  • 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: Oyón-Oion
Triple: [Álava, hasImportantTown, Oyón-Oion]
Generated description
Oyón-Oion is a town in the province of Álava in Spain’s Basque Country, known for its wine production within the Rioja Alavesa region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oyón-Oion
Target entity description: Oyón-Oion is a town in the province of Álava in Spain’s Basque Country, known for its wine production within the Rioja Alavesa region.
  • A. Oyón
    Oyón is a town in Peru that serves as the administrative and commercial center of the surrounding Oyón Province in the highlands.
  • B. Oneroa
    Oneroa is the main village and commercial hub of Waiheke Island in New Zealand, known for its beaches, cafes, and relaxed coastal atmosphere.
  • C. Ojojona
    Ojojona is a historic town in southern Honduras known for its colonial architecture and traditional crafts.
  • D. Otuocha
    Otuocha is a town in southeastern Nigeria that serves as the administrative headquarters of the Anambra East Local Government Area in Anambra State.
  • E. Oeyo
    Oeyo was a prominent noblewoman of Japan’s late Sengoku and early Edo periods, best known as the daughter of Azai Nagamasa and Oichi and the mother of the third Tokugawa shogun, Iemitsu.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8d3fcfc8190bc51a38715ed453e completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69ceac90764c81908c349729bd22a9af completed April 2, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_69cead4a4f148190aa39e774528730c9 completed April 2, 2026, 5:54 p.m.
Created at: March 30, 2026, 6:24 p.m.