Triple

T22368480
Position Surface form Disambiguated ID Type / Status
Subject Prince County E552973 entity
Predicate federalElectoralDistrict P7371 FINISHED
Object Egmont
Egmont is a federal electoral district in Prince Edward Island, Canada, represented in the House of Commons.
E1533205 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: Egmont | Statement: [Prince County, federalElectoralDistrict, Egmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egmont
Context triple: [Prince County, federalElectoralDistrict, Egmont]
  • A. Egmont
    Egmont is a tragic drama by Johann Wolfgang von Goethe that portrays the struggle for freedom against political oppression in 16th-century Flanders.
  • B. Brantes
    Brantes is a small, picturesque village in southeastern France, known for its scenic setting in the Vaucluse department beneath Mont Ventoux.
  • C. Porrettana
    Porrettana is the traditional name of the historic Bologna–Pistoia railway line that crosses the Apennines in northern Italy.
  • D. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • E. Caimbeul
    Caimbeul is the original Scottish Gaelic form of the surname Campbell, historically associated with a powerful Highland clan.
  • 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: Egmont
Triple: [Prince County, federalElectoralDistrict, Egmont]
Generated description
Egmont is a federal electoral district in Prince Edward Island, Canada, represented in the House of Commons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Egmont
Target entity description: Egmont is a federal electoral district in Prince Edward Island, Canada, represented in the House of Commons.
  • A. Egmont
    Egmont is a tragic drama by Johann Wolfgang von Goethe that portrays the struggle for freedom against political oppression in 16th-century Flanders.
  • B. Brantes
    Brantes is a small, picturesque village in southeastern France, known for its scenic setting in the Vaucluse department beneath Mont Ventoux.
  • C. Porrettana
    Porrettana is the traditional name of the historic Bologna–Pistoia railway line that crosses the Apennines in northern Italy.
  • D. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • E. Caimbeul
    Caimbeul is the original Scottish Gaelic form of the surname Campbell, historically associated with a powerful Highland clan.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae0685c7881908d0ed5fee6d17b5f completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae4812f4481908ed0e00937419241 completed May 18, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae515d6808190bc7bee259c12ca6e completed May 18, 2026, 10:08 a.m.
Created at: April 16, 2026, 8:44 p.m.