Triple

T9852560
Position Surface form Disambiguated ID Type / Status
Subject Pascal Jost E239502 entity
Predicate jurisdiction P82 FINISHED
Object commune of Veckring
The commune of Veckring is a small French municipality in the Moselle department of northeastern France, known for its rural setting near the Maginot Line.
 E825014 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: commune of Veckring | Statement: [Pascal Jost, jurisdiction, commune of Veckring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: commune of Veckring
Context triple: [Pascal Jost, jurisdiction, commune of Veckring]
  • A. Commune of Hauterive
    The Commune of Hauterive is a Swiss municipality in the canton of Fribourg, known for its historic Cistercian Abbey of Hauterive and its scenic setting along the Sarine River.
  • B. La Cisterna commune
    La Cisterna commune is an administrative division of Santiago, Chile, known as a primarily residential urban area within the Santiago Metropolitan Region.
  • C. Aschering
    Aschering is a village-level subdivision of the municipality of Pöcking in Bavaria, Germany.
  • D. Vussem
    Vussem is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • E. Bissingen
    Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
  • 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: commune of Veckring
Triple: [Pascal Jost, jurisdiction, commune of Veckring]
Generated description
The commune of Veckring is a small French municipality in the Moselle department of northeastern France, known for its rural setting near the Maginot Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: commune of Veckring
Target entity description: The commune of Veckring is a small French municipality in the Moselle department of northeastern France, known for its rural setting near the Maginot Line.
  • A. Commune of Hauterive
    The Commune of Hauterive is a Swiss municipality in the canton of Fribourg, known for its historic Cistercian Abbey of Hauterive and its scenic setting along the Sarine River.
  • B. La Cisterna commune
    La Cisterna commune is an administrative division of Santiago, Chile, known as a primarily residential urban area within the Santiago Metropolitan Region.
  • C. Aschering
    Aschering is a village-level subdivision of the municipality of Pöcking in Bavaria, Germany.
  • D. Vussem
    Vussem is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • E. Bissingen
    Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6a385ac8190b5dd11adfbb7578d completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.