Triple

T8666349
Position Surface form Disambiguated ID Type / Status
Subject Burin Peninsula E205683 entity
Predicate hasSettlement P1068 FINISHED
Object Garnish
Garnish is a small coastal town on Newfoundland and Labrador’s Burin Peninsula in Canada, known for its fishing heritage and scenic shoreline.
 E749421 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: Garnish | Statement: [Burin Peninsula, hasSettlement, Garnish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garnish
Context triple: [Burin Peninsula, hasSettlement, Garnish]
  • A. Servir
    Servir is a memoir by French general Maurice Gamelin reflecting on his military career and experiences, particularly around the Second World War.
  • B. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • C. Wazwan
    Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
  • D. Banket
    Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
  • E. Tartar
    Tartar is a town in western Azerbaijan that serves as the administrative and economic hub of the surrounding Tartar District.
  • 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: Garnish
Triple: [Burin Peninsula, hasSettlement, Garnish]
Generated description
Garnish is a small coastal town on Newfoundland and Labrador’s Burin Peninsula in Canada, known for its fishing heritage and scenic shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garnish
Target entity description: Garnish is a small coastal town on Newfoundland and Labrador’s Burin Peninsula in Canada, known for its fishing heritage and scenic shoreline.
  • A. Servir
    Servir is a memoir by French general Maurice Gamelin reflecting on his military career and experiences, particularly around the Second World War.
  • B. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • C. Wazwan
    Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
  • D. Banket
    Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
  • E. Tartar
    Tartar is a town in western Azerbaijan that serves as the administrative and economic hub of the surrounding Tartar District.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a1dd1481908c56abca48fcd562 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1592788190a882fb7218f95807 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8e5afc8190912b6eb9c80dd073 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf8ee4f48190bb901e35ade91b6c completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:31 p.m.