Triple

T11130788
Position Surface form Disambiguated ID Type / Status
Subject Troisvierges E263272 entity
Predicate hasLocality P7943 FINISHED
Object Biwerbach
Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
E908363 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: Biwerbach | Statement: [Troisvierges, hasLocality, Biwerbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biwerbach
Context triple: [Troisvierges, hasLocality, Biwerbach]
  • A. Windischeschenbach
    Windischeschenbach is a small town in northeastern Bavaria, Germany, known for its traditional Zoigl beer culture and proximity to the Upper Palatinate Forest.
  • B. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • C. Alpirsbach
    Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
  • D. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • E. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • 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: Biwerbach
Triple: [Troisvierges, hasLocality, Biwerbach]
Generated description
Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biwerbach
Target entity description: Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
  • A. Windischeschenbach
    Windischeschenbach is a small town in northeastern Bavaria, Germany, known for its traditional Zoigl beer culture and proximity to the Upper Palatinate Forest.
  • B. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • C. Alpirsbach
    Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
  • D. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • E. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46308d2f481908827d0d569802f89 completed April 19, 2026, 5:07 a.m.
NEDg Description generation batch_69e46c3448348190b2c062d21771066d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e46dadbc5c8190b41279a05731dc95 completed April 19, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:28 p.m.