Triple

T5472493
Position Surface form Disambiguated ID Type / Status
Subject Achern E122866 entity
Predicate hasTwinTown P919 FINISHED
Object Morez
Morez is a small town in the Jura department of eastern France, historically known for its eyewear industry and picturesque setting in the Jura Mountains.
 E523459 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: Morez | Statement: [Achern, hasTwinTown, Morez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morez
Context triple: [Achern, hasTwinTown, Morez]
  • A. Neve
    Neve is one of the official mascots of the 2006 Winter Olympics in Turin, depicted as a stylized snowball symbolizing winter sports and the spirit of the Games.
  • B. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • C. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • D. Ozem
    Ozem is a biblical figure mentioned in the Old Testament as one of Jesse’s sons and thus a brother of King David.
  • E. Zoji La
    Zoji La is a high mountain pass in the Himalayas that serves as a crucial road link between the Kashmir Valley and the Ladakh region in India.
  • 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: Morez
Triple: [Achern, hasTwinTown, Morez]
Generated description
Morez is a small town in the Jura department of eastern France, historically known for its eyewear industry and picturesque setting in the Jura Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morez
Target entity description: Morez is a small town in the Jura department of eastern France, historically known for its eyewear industry and picturesque setting in the Jura Mountains.
  • A. Neve
    Neve is one of the official mascots of the 2006 Winter Olympics in Turin, depicted as a stylized snowball symbolizing winter sports and the spirit of the Games.
  • B. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • C. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • D. Ozem
    Ozem is a biblical figure mentioned in the Old Testament as one of Jesse’s sons and thus a brother of King David.
  • E. Zoji La
    Zoji La is a high mountain pass in the Himalayas that serves as a crucial road link between the Kashmir Valley and the Ladakh region in India.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4895b77c819089629d2296a230bc completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4c43b8bc81908b28e1b8287400c7 completed March 22, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69bf4cadc9508190a901a6fe6702f1b7 completed March 22, 2026, 1:58 a.m.
Created at: March 20, 2026, 2:09 p.m.