Triple

T12427805
Position Surface form Disambiguated ID Type / Status
Subject Vielha e Mijaran E296942 entity
Predicate hasSettlement P1068 FINISHED
Object Areny
Areny is a small settlement located within the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
E981977 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: Areny | Statement: [Vielha e Mijaran, hasSettlement, Areny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Areny
Context triple: [Vielha e Mijaran, hasSettlement, Areny]
  • A. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • B. Moianès
    Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
  • C. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • D. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • E. Cangar
    Cangar is a highland area in East Java, Indonesia, known for its hot springs and as a gateway for hikers heading toward Mount Welirang.
  • 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: Areny
Triple: [Vielha e Mijaran, hasSettlement, Areny]
Generated description
Areny is a small settlement located within the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Areny
Target entity description: Areny is a small settlement located within the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
  • A. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • B. Moianès
    Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
  • C. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • D. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • E. Cangar
    Cangar is a highland area in East Java, Indonesia, known for its hot springs and as a gateway for hikers heading toward Mount Welirang.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63499061881908d25af7c3474f774 completed May 2, 2026, 5:30 p.m.
NEDg Description generation batch_69f636cf7d808190bf3c1c84bdaf414e completed May 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69f6380223d08190959e524ad146d0e0 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:55 p.m.