Triple

T17600573
Position Surface form Disambiguated ID Type / Status
Subject Vallée d’Aure E428688 entity
Predicate hasVillage P4011 FINISHED
Object Arreau
Arreau is a picturesque village in the French Pyrenees, known for its traditional mountain architecture and location at the confluence of the Neste d’Aure and Neste du Louron rivers.
 E1278288 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: Arreau | Statement: [Vallée d’Aure, hasVillage, Arreau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arreau
Context triple: [Vallée d’Aure, hasVillage, Arreau]
  • A. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • B. Beniferri
    Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
  • C. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • 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: Arreau
Triple: [Vallée d’Aure, hasVillage, Arreau]
Generated description
Arreau is a picturesque village in the French Pyrenees, known for its traditional mountain architecture and location at the confluence of the Neste d’Aure and Neste du Louron rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arreau
Target entity description: Arreau is a picturesque village in the French Pyrenees, known for its traditional mountain architecture and location at the confluence of the Neste d’Aure and Neste du Louron rivers.
  • A. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • B. Beniferri
    Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
  • C. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4812d48190bf8e899fa8f7fbe4 completed April 19, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e81b951c81908969e6d2f952efc4 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01ef0a9fb48190ac9d38f027ceb728 completed May 11, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a01ef87c62c8190b9a3cd936542d7b4 completed May 11, 2026, 3:02 p.m.
Created at: April 10, 2026, 5:51 a.m.