Triple

T16274746
Position Surface form Disambiguated ID Type / Status
Subject Houyet E395094 entity
Predicate hasSettlement P1068 FINISHED
Object Winenne
Winenne is a small village in the municipality of Houyet in the Wallonia region of southern Belgium.
 E1204636 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: Winenne | Statement: [Houyet, hasSettlement, Winenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winenne
Context triple: [Houyet, hasSettlement, Winenne]
  • A. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • B. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • C. Wein
    Wein is a surname most notably associated with George Wein, the influential American jazz promoter and founder of major music festivals such as the Newport Jazz Festival.
  • D. Vang
    Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
  • E. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • 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: Winenne
Triple: [Houyet, hasSettlement, Winenne]
Generated description
Winenne is a small village in the municipality of Houyet in the Wallonia region of southern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winenne
Target entity description: Winenne is a small village in the municipality of Houyet in the Wallonia region of southern Belgium.
  • A. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • B. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • C. Wein
    Wein is a surname most notably associated with George Wein, the influential American jazz promoter and founder of major music festivals such as the Newport Jazz Festival.
  • D. Vang
    Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
  • E. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460c2d948190813b66e539a64a70 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001a35b43081909b44a22798b1ef1b completed May 10, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a001a93530c81908cb4180d9ebe9850 completed May 10, 2026, 5:41 a.m.
Created at: April 10, 2026, 5:05 a.m.