Triple

T22112310
Position Surface form Disambiguated ID Type / Status
Subject Copeland E546447 entity
Predicate contains P35 FINISHED
Object Beckermet
Beckermet is a small village in the borough of Copeland in Cumbria, England, situated near the Cumbrian coast and close to the Sellafield nuclear site.
E1520452 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: Beckermet | Statement: [Copeland, contains, Beckermet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beckermet
Context triple: [Copeland, contains, Beckermet]
  • A. Schmarbeck
    Schmarbeck is a small village in Lower Saxony, Germany, that forms part of the collective municipality of Faßberg.
  • B. Schmarbeck
    Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
  • C. Metter
    The Metter is a river in Germany that flows through the state of Baden-Württemberg and ultimately joins the Enz River.
  • D. Metter
    Metter is a small city in southeastern Georgia, United States, known as the principal community and administrative center of Candler County.
  • E. Birrhard
    Birrhard is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and proximity to the town of Brugg.
  • 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: Beckermet
Triple: [Copeland, contains, Beckermet]
Generated description
Beckermet is a small village in the borough of Copeland in Cumbria, England, situated near the Cumbrian coast and close to the Sellafield nuclear site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beckermet
Target entity description: Beckermet is a small village in the borough of Copeland in Cumbria, England, situated near the Cumbrian coast and close to the Sellafield nuclear site.
  • A. Schmarbeck
    Schmarbeck is a small village in Lower Saxony, Germany, that forms part of the collective municipality of Faßberg.
  • B. Schmarbeck
    Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
  • C. Metter
    The Metter is a river in Germany that flows through the state of Baden-Württemberg and ultimately joins the Enz River.
  • D. Metter
    Metter is a small city in southeastern Georgia, United States, known as the principal community and administrative center of Candler County.
  • E. Birrhard
    Birrhard is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and proximity to the town of Brugg.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f19799c81909e736a0f19071297 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a9345653c8190b4ae4eaed3082997 completed May 18, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0a93bcb82081908e7e6ff841c2cd8c completed May 18, 2026, 4:21 a.m.
Created at: April 16, 2026, 8:31 p.m.