Triple

T16972763
Position Surface form Disambiguated ID Type / Status
Subject Cambo-les-Bains E411727 entity
Predicate basqueName P17751 FINISHED
Object Kanbo
Kanbo is the Basque name for Cambo-les-Bains, a spa town in the French Basque Country known for its thermal baths and picturesque setting.
 E1242611 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: Kanbo | Statement: [Cambo-les-Bains, basqueName, Kanbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kanbo
Context triple: [Cambo-les-Bains, basqueName, Kanbo]
  • A. Koyo
    Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
  • B. Rokado
    Rokado was a professional cycling team active in the 1960s and early 1970s, known for competing in major European road races.
  • C. Sekken
    Sekken is an island in Møre og Romsdal county, Norway, situated in the Romsdalsfjord and known for its scenic landscapes and small rural community.
  • D. Kachidoki
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • E. Happo-One
    Happo-One is a major ski resort in Japan’s Northern Alps, renowned for its extensive slopes, deep powder, and role as a venue during the 1998 Nagano Winter Olympics.
  • 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: Kanbo
Triple: [Cambo-les-Bains, basqueName, Kanbo]
Generated description
Kanbo is the Basque name for Cambo-les-Bains, a spa town in the French Basque Country known for its thermal baths and picturesque setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kanbo
Target entity description: Kanbo is the Basque name for Cambo-les-Bains, a spa town in the French Basque Country known for its thermal baths and picturesque setting.
  • A. Koyo
    Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
  • B. Rokado
    Rokado was a professional cycling team active in the 1960s and early 1970s, known for competing in major European road races.
  • C. Sekken
    Sekken is an island in Møre og Romsdal county, Norway, situated in the Romsdalsfjord and known for its scenic landscapes and small rural community.
  • D. Kachidoki
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • E. Happo-One
    Happo-One is a major ski resort in Japan’s Northern Alps, renowned for its extensive slopes, deep powder, and role as a venue during the 1998 Nagano Winter Olympics.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4738fbc819099e8281ebc777091 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d51835c48190b1a37de6ac25ceaa completed May 10, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_6a00d59b96108190a0e55f01529a0b64 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.