Triple

T18988614
Position Surface form Disambiguated ID Type / Status
Subject canton of Frasne E464620 entity
Predicate contains P35 FINISHED
Object La Chaux
La Chaux is a small French commune located in the Doubs department of the Bourgogne-Franche-Comté region in eastern France.
E1360633 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: La Chaux | Statement: [canton of Frasne, contains, La Chaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Chaux
Context triple: [canton of Frasne, contains, La Chaux]
  • A. Chevenoz
    Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
  • B. Chasseral
    Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
  • C. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • D. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • E. Lussy
    Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
  • 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: La Chaux
Triple: [canton of Frasne, contains, La Chaux]
Generated description
La Chaux is a small French commune located in the Doubs department of the Bourgogne-Franche-Comté region in eastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Chaux
Target entity description: La Chaux is a small French commune located in the Doubs department of the Bourgogne-Franche-Comté region in eastern France.
  • A. Chevenoz
    Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
  • B. Chasseral
    Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
  • C. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • D. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • E. Lussy
    Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d66272388190850a7e5dec165a01 completed April 20, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f23b6be481908636b5b48066364d completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f303c4fc8190a9a972dd1561bc84 completed May 15, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4039ca881908679e5da604eea50 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, 12:01 p.m.