Triple

T12098588
Position Surface form Disambiguated ID Type / Status
Subject Guernsey courts E288132 entity
Predicate hasPart P35 FINISHED
Object Sark Court
Sark Court is the local judicial body serving the island of Sark within the Bailiwick of Guernsey’s legal system.
E963657 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: Sark Court | Statement: [Guernsey courts, hasPart, Sark Court]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sark Court
Context triple: [Guernsey courts, hasPart, Sark Court]
  • A. White Hall
    White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
  • B. White Hall
    White Hall is an ornate ceremonial room within the Würzburg Residence, renowned for its lavish Rococo interior and use in grand courtly events.
  • C. White Hall
    White Hall is a grand ceremonial ballroom within Russia’s Gatchina Palace, known for its elegant neoclassical interiors and use in official receptions and events.
  • D. White Hall
    White Hall is a historic Kentucky mansion best known as the home of 19th-century politician and emancipation advocate Cassius Marcellus Clay.
  • E. White Hall
    White Hall is an ornate ceremonial hall within Latvia’s Rundāle Palace, renowned for its lavish Baroque and Rococo interior decoration.
  • 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: Sark Court
Triple: [Guernsey courts, hasPart, Sark Court]
Generated description
Sark Court is the local judicial body serving the island of Sark within the Bailiwick of Guernsey’s legal system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sark Court
Target entity description: Sark Court is the local judicial body serving the island of Sark within the Bailiwick of Guernsey’s legal system.
  • A. White Hall
    White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
  • B. White Hall
    White Hall is a grand ceremonial ballroom within Russia’s Gatchina Palace, known for its elegant neoclassical interiors and use in official receptions and events.
  • C. White Hall
    White Hall is an ornate ceremonial room within the Würzburg Residence, renowned for its lavish Rococo interior and use in grand courtly events.
  • D. White Hall
    White Hall is a historic Kentucky mansion best known as the home of 19th-century politician and emancipation advocate Cassius Marcellus Clay.
  • E. White Hall
    White Hall is an ornate ceremonial hall within Latvia’s Rundāle Palace, renowned for its lavish Baroque and Rococo interior decoration.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.