Triple

T18117692
Position Surface form Disambiguated ID Type / Status
Subject Col du Soulor E433649 entity
Predicate hasAscentFrom P52151 FINISHED
Object Ferrières
Ferrières is a small village in the French Pyrenees, known as a starting point for mountain routes and scenic climbs in the region.
 E1306809 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: Ferrières | Statement: [Col du Soulor, hasAscentFrom, Ferrières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferrières
Context triple: [Col du Soulor, hasAscentFrom, Ferrières]
  • A. Ferrières
    Ferrières is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and scenic Ardennes landscapes.
  • B. Ferrière
    Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
  • C. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • D. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • E. Villeneuve-sur-Fère
    Villeneuve-sur-Fère is a small commune in northern France best known as the birthplace of the poet and dramatist Paul Claudel.
  • 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: Ferrières
Triple: [Col du Soulor, hasAscentFrom, Ferrières]
Generated description
Ferrières is a small village in the French Pyrenees, known as a starting point for mountain routes and scenic climbs in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferrières
Target entity description: Ferrières is a small village in the French Pyrenees, known as a starting point for mountain routes and scenic climbs in the region.
  • A. Ferrières
    Ferrières is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and scenic Ardennes landscapes.
  • B. Ferrière
    Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
  • C. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • D. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • E. Villeneuve-sur-Fère
    Villeneuve-sur-Fère is a small commune in northern France best known as the birthplace of the poet and dramatist Paul Claudel.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd737708190863fba97cdc20d88 completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c40b66c819095d90006fa7ecc37 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037d8d2bc081908c23325f016e0a3d completed May 12, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_6a037e38eee4819090dc733e4aa7299b completed May 12, 2026, 7:23 p.m.
Created at: April 10, 2026, 10:28 a.m.