Triple

T2103259
Position Surface form Disambiguated ID Type / Status
Subject Sambre–Oise Canal E37135 entity
Predicate region P40 FINISHED
Object Thiérache
Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
 E258527 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: Thiérache | Statement: [Sambre–Oise Canal, region, Thiérache]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thiérache
Context triple: [Sambre–Oise Canal, region, Thiérache]
  • A. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • B. Val-d'Oise
    Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
  • C. Mehun-sur-Yèvre
    Mehun-sur-Yèvre is a historic commune in central France known for its medieval heritage, including the remains of a royal castle and its association with King Charles VII.
  • D. Aube
    Aube is a department in northeastern France known for its historic towns, Champagne vineyards, and rural landscapes.
  • E. Val d’Ain
    Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
  • 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: Thiérache
Triple: [Sambre–Oise Canal, region, Thiérache]
Generated description
Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thiérache
Target entity description: Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • A. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • B. Val-d'Oise
    Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
  • C. Mehun-sur-Yèvre
    Mehun-sur-Yèvre is a historic commune in central France known for its medieval heritage, including the remains of a royal castle and its association with King Charles VII.
  • D. Aube
    Aube is a department in northeastern France known for its historic towns, Champagne vineyards, and rural landscapes.
  • E. Val d’Ain
    Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabe1e9081908ea66c5406e2f1d9 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95efea5c8190a8a63e36cf3247e7 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae9694c390819095b3e935224902d3 completed March 9, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae9a5b2a04819091b102c51a5b2af4 completed March 9, 2026, 10 a.m.
Created at: March 4, 2026, 7:43 p.m.