Triple

T4003351
Position Surface form Disambiguated ID Type / Status
Subject Wesel E89464 entity
Predicate hasTwinTown P919 FINISHED
Object Moulin
Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
E407401 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: Moulin | Statement: [Wesel, hasTwinTown, Moulin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moulin
Context triple: [Wesel, hasTwinTown, Moulin]
  • A. Moulin-à-Vent
    Moulin-à-Vent is a renowned French appellation in the Beaujolais region known for producing some of its most structured, age-worthy red wines, primarily from the Gamay grape.
  • B. Moulins
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • C. Champ-du-Moulin
    Champ-du-Moulin is a small hamlet in the Areuse gorge in the canton of Neuchâtel, Switzerland, known for its scenic river landscape and hiking trails.
  • D. Sous-Moulin
    Sous-Moulin is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, known primarily as a residential and community area.
  • E. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central 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: Moulin
Triple: [Wesel, hasTwinTown, Moulin]
Generated description
Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moulin
Target entity description: Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
  • A. Moulin-à-Vent
    Moulin-à-Vent is a renowned French appellation in the Beaujolais region known for producing some of its most structured, age-worthy red wines, primarily from the Gamay grape.
  • B. Moulins
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • C. Champ-du-Moulin
    Champ-du-Moulin is a small hamlet in the Areuse gorge in the canton of Neuchâtel, Switzerland, known for its scenic river landscape and hiking trails.
  • D. Sous-Moulin
    Sous-Moulin is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, known primarily as a residential and community area.
  • E. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5de98c8190a95b21a75fffdef3 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c61bad48190a5115dbd4a3457d6 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54cf3da208190aa844c9ea66354fe completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b55159dc288190a63d5f5164b73bbb completed March 14, 2026, 12:15 p.m.
Created at: March 9, 2026, 3:34 p.m.