Triple

T21426348
Position Surface form Disambiguated ID Type / Status
Subject Forez E528566 entity
Predicate highestPoint P210 FINISHED
Object Pierre-sur-Haute
Pierre-sur-Haute is a prominent mountain peak in central France’s Massif Central, known for its natural landscapes and as a notable high point in the region.
E1571728 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: Pierre-sur-Haute | Statement: [Forez, highestPoint, Pierre-sur-Haute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre-sur-Haute
Context triple: [Forez, highestPoint, Pierre-sur-Haute]
  • A. Bourg-Saint-Pierre
    Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
  • B. Chassepierre
    Chassepierre is a picturesque village in southern Belgium, renowned for its scenic setting along the Semois River and its annual international street arts festival.
  • C. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • D. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • E. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • 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: Pierre-sur-Haute
Triple: [Forez, highestPoint, Pierre-sur-Haute]
Generated description
Pierre-sur-Haute is a prominent mountain peak in central France’s Massif Central, known for its natural landscapes and as a notable high point in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pierre-sur-Haute
Target entity description: Pierre-sur-Haute is a prominent mountain peak in central France’s Massif Central, known for its natural landscapes and as a notable high point in the region.
  • A. Bourg-Saint-Pierre
    Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
  • B. Chassepierre
    Chassepierre is a picturesque village in southern Belgium, renowned for its scenic setting along the Semois River and its annual international street arts festival.
  • C. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • D. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • E. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813c7a048190a400e364c8df1dcf completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23c937f88190bf9b00fb5b2907f5 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271d8fc48190a818c73660218022 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c2951a718819088c1c7d8435586ec completed May 19, 2026, 9:11 a.m.
Created at: April 16, 2026, 5:48 p.m.