Triple

T6494683
Position Surface form Disambiguated ID Type / Status
Subject Schellenberg E148126 entity
Predicate sharesBorderWith P224 FINISHED
Object Mauren
Mauren is a municipality in the Principality of Liechtenstein, known for its residential character and location near the Swiss border.
E597233 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: Mauren | Statement: [Schellenberg, sharesBorderWith, Mauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauren
Context triple: [Schellenberg, sharesBorderWith, Mauren]
  • A. Maurin
    Maurin is a French surname most notably associated with Peter Maurin, the co-founder of the Catholic Worker Movement.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Clarita
    Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
  • D. Angourie
    Angourie is a small coastal village in New South Wales, Australia, renowned for its surf breaks and scenic beaches.
  • E. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • 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: Mauren
Triple: [Schellenberg, sharesBorderWith, Mauren]
Generated description
Mauren is a municipality in the Principality of Liechtenstein, known for its residential character and location near the Swiss border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mauren
Target entity description: Mauren is a municipality in the Principality of Liechtenstein, known for its residential character and location near the Swiss border.
  • A. Maurin
    Maurin is a French surname most notably associated with Peter Maurin, the co-founder of the Catholic Worker Movement.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Clarita
    Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
  • D. Angourie
    Angourie is a small coastal village in New South Wales, Australia, renowned for its surf breaks and scenic beaches.
  • E. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653c21f948190989da451bc573b4d completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c657fec3d4819080366e7469874c39 completed March 27, 2026, 10:12 a.m.
NED2 Entity disambiguation (via description) batch_69c65bb97e908190ab05174bae4ed9a8 completed March 27, 2026, 10:28 a.m.
Created at: March 22, 2026, 4:53 p.m.