Triple

T4535347
Position Surface form Disambiguated ID Type / Status
Subject Ajoie E107394 entity
Predicate contains P35 FINISHED
Object Basse-Ajoie
Basse-Ajoie is a subregion of the Ajoie area in the canton of Jura in northwestern Switzerland, known for its rural landscapes and proximity to the French border.
 E451345 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: Basse-Ajoie | Statement: [Ajoie, contains, Basse-Ajoie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Basse-Ajoie
Context triple: [Ajoie, contains, Basse-Ajoie]
  • A. Kembs
    Kembs is a commune in northeastern France’s Alsace region, situated along the Rhine near the Swiss and German borders.
  • B. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • C. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • D. Esch-sur-Sûre
    Esch-sur-Sûre is a small historic town in northwestern Luxembourg, known for its medieval castle ruins and picturesque setting along a bend of the Sûre River.
  • E. Esch-Uelzecht
    Esch-Uelzecht is the Luxembourgish name for Esch-sur-Alzette, Luxembourg’s second-largest city and a major industrial and cultural center in the country.
  • 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: Basse-Ajoie
Triple: [Ajoie, contains, Basse-Ajoie]
Generated description
Basse-Ajoie is a subregion of the Ajoie area in the canton of Jura in northwestern Switzerland, known for its rural landscapes and proximity to the French border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Basse-Ajoie
Target entity description: Basse-Ajoie is a subregion of the Ajoie area in the canton of Jura in northwestern Switzerland, known for its rural landscapes and proximity to the French border.
  • A. Kembs
    Kembs is a commune in northeastern France’s Alsace region, situated along the Rhine near the Swiss and German borders.
  • B. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • C. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • D. Esch-sur-Sûre
    Esch-sur-Sûre is a small historic town in northwestern Luxembourg, known for its medieval castle ruins and picturesque setting along a bend of the Sûre River.
  • E. Esch-Uelzecht
    Esch-Uelzecht is the Luxembourgish name for Esch-sur-Alzette, Luxembourg’s second-largest city and a major industrial and cultural center in the country.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b634b08190845d04213cf8d5b9 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb9193e2481908901b9b4eb307da8 completed March 20, 2026, 9:16 p.m.
NEDg Description generation batch_69bdbd52e1d0819090b8f64f31766479 completed March 20, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69bdbda5fd588190b277d5e75a16b689 completed March 20, 2026, 9:35 p.m.
Created at: March 20, 2026, 1:04 p.m.