Triple

T1464113
Position Surface form Disambiguated ID Type / Status
Subject Haute-Loire E31579 entity
Predicate subprefecture P9697 FINISHED
Object Yssingeaux
Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
E260615 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: Yssingeaux | Statement: [Haute-Loire, subprefecture, Yssingeaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yssingeaux
Context triple: [Haute-Loire, subprefecture, Yssingeaux]
  • A. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • B. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • C. Langres
    Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
  • D. Oyonnax
    Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
  • E. Cavaillon
    Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
  • 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: Yssingeaux
Triple: [Haute-Loire, subprefecture, Yssingeaux]
Generated description
Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yssingeaux
Target entity description: Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • A. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • B. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • C. Langres
    Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
  • D. Oyonnax
    Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
  • E. Cavaillon
    Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5b89708819084fb9ba4ff293b8b completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea82cd9748190ac82c7221455b2d5 completed March 9, 2026, 10:59 a.m.
NEDg Description generation batch_69aeab510c908190b5c53ce49d18b880 completed March 9, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69aeac08f5248190893b5d378fde2836 completed March 9, 2026, 11:16 a.m.
Created at: March 1, 2026, 8 p.m.