Triple

T5066672
Position Surface form Disambiguated ID Type / Status
Subject St. John’s South—Mount Pearl E114159 entity
Predicate hasMunicipality P847 FINISHED
Object Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
E492865 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: Bauline | Statement: [St. John’s South—Mount Pearl, hasMunicipality, Bauline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauline
Context triple: [St. John’s South—Mount Pearl, hasMunicipality, Bauline]
  • A. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • B. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • C. Laureline
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • D. Bornette
    Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
  • E. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • 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: Bauline
Triple: [St. John’s South—Mount Pearl, hasMunicipality, Bauline]
Generated description
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bauline
Target entity description: Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • A. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • B. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • C. Laureline
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • D. Bornette
    Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
  • E. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749aceac8190817278266308fd64 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb17a173c8190b8d7603c3defce7d completed March 21, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69beb206d1cc8190bb0be53494cc70ec completed March 21, 2026, 2:58 p.m.
Created at: March 20, 2026, 1:38 p.m.