Triple

T431214
Position Surface form Disambiguated ID Type / Status
Subject Sicily E9715 entity
Predicate hasCity P316 FINISHED
Object Marsala
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
 E54390 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: Marsala | Statement: [Sicily, hasCity, Marsala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marsala
Context triple: [Sicily, hasCity, Marsala]
  • A. Barcola
    Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
  • B. Cantal
    Cantal is a rural department in south-central France known for its volcanic landscapes, pastoral agriculture, and the production of Cantal cheese.
  • C. Mezzegra
    Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
  • D. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • E. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • 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: Marsala
Triple: [Sicily, hasCity, Marsala]
Generated description
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marsala
Target entity description: Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
  • A. Barcola
    Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
  • B. Cantal
    Cantal is a rural department in south-central France known for its volcanic landscapes, pastoral agriculture, and the production of Cantal cheese.
  • C. Mezzegra
    Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
  • D. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • E. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeef065c81908ed30528a61da132 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f6938a08190a6c1433242832dea completed March 1, 2026, 12:22 p.m.
NEDg Description generation batch_69a43038d2348190a348e6661d27dde4 completed March 1, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_69a430f6c6f88190b5aecfe3c4c8957d completed March 1, 2026, 12:28 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.