Triple

T2947099
Position Surface form Disambiguated ID Type / Status
Subject Northern Spain E79528 entity
Predicate hasRiver P165 FINISHED
Object Bidasoa
Bidasoa is a river in the Basque region that forms part of the natural border between Spain and France before flowing into the Bay of Biscay.
 E313082 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: Bidasoa | Statement: [Northern Spain, hasRiver, Bidasoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bidasoa
Context triple: [Northern Spain, hasRiver, Bidasoa]
  • A. Ikurriña
    Ikurriña is the distinctive red, green, and white flag that symbolizes the Basque people and their homeland in northern Spain and southwestern France.
  • B. Biscay
    Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
  • C. Zarautz
    Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
  • D. Etsako
    Etsako is a prominent ethnic group in southern Nigeria, primarily inhabiting the northern part of Edo State and known for its rich cultural heritage and distinct language.
  • E. Aranzazu
    Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
  • 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: Bidasoa
Triple: [Northern Spain, hasRiver, Bidasoa]
Generated description
Bidasoa is a river in the Basque region that forms part of the natural border between Spain and France before flowing into the Bay of Biscay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bidasoa
Target entity description: Bidasoa is a river in the Basque region that forms part of the natural border between Spain and France before flowing into the Bay of Biscay.
  • A. Ikurriña
    Ikurriña is the distinctive red, green, and white flag that symbolizes the Basque people and their homeland in northern Spain and southwestern France.
  • B. Biscay
    Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
  • C. Zarautz
    Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
  • D. Etsako
    Etsako is a prominent ethnic group in southern Nigeria, primarily inhabiting the northern part of Edo State and known for its rich cultural heritage and distinct language.
  • E. Aranzazu
    Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08695bea08190abce552493abda57 completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0d4d08d688190888459d7d4fbd8d4 completed March 11, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69b0d5567e488190b5eee8a494433ae4 completed March 11, 2026, 2:37 a.m.
Created at: March 8, 2026, 2:57 p.m.