Triple

T7300090
Position Surface form Disambiguated ID Type / Status
Subject Vallorbe E167824 entity
Predicate hasAttraction P105 FINISHED
Object Juraparc
Juraparc is a wildlife and leisure park in the Swiss Jura region known for its enclosures of bears, wolves, and bison in a natural mountain setting.
 E655001 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: Juraparc | Statement: [Vallorbe, hasAttraction, Juraparc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juraparc
Context triple: [Vallorbe, hasAttraction, Juraparc]
  • A. Jurata
    Jurata is a seaside resort village in northern Poland, known for its sandy beaches and location on the Hel Peninsula along the Baltic Sea.
  • B. Jopara
    Jopara is a mixed language spoken in Paraguay that blends Guaraní and Spanish in everyday communication.
  • C. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • D. Ars Paulina
    Ars Paulina is a section of the grimoire tradition that details astrological and angelic magic, particularly the summoning of angels associated with hours and zodiac signs.
  • E. Jangamo
    Jangamo is a coastal town and district in southern Mozambique known for its beaches and proximity to popular diving and fishing areas along the Indian Ocean.
  • 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: Juraparc
Triple: [Vallorbe, hasAttraction, Juraparc]
Generated description
Juraparc is a wildlife and leisure park in the Swiss Jura region known for its enclosures of bears, wolves, and bison in a natural mountain setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juraparc
Target entity description: Juraparc is a wildlife and leisure park in the Swiss Jura region known for its enclosures of bears, wolves, and bison in a natural mountain setting.
  • A. Jurata
    Jurata is a seaside resort village in northern Poland, known for its sandy beaches and location on the Hel Peninsula along the Baltic Sea.
  • B. Jopara
    Jopara is a mixed language spoken in Paraguay that blends Guaraní and Spanish in everyday communication.
  • C. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • D. Ars Paulina
    Ars Paulina is a section of the grimoire tradition that details astrological and angelic magic, particularly the summoning of angels associated with hours and zodiac signs.
  • E. Jangamo
    Jangamo is a coastal town and district in southern Mozambique known for its beaches and proximity to popular diving and fishing areas along the Indian Ocean.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebaef4a081908fadc6d5e2621e80 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e554833c8190ac124421379639bd completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e628b9e0819099fef480ea58973d completed March 28, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7e7582ab08190827bb04465297c7c completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:01 p.m.