Triple

T2454631
Position Surface form Disambiguated ID Type / Status
Subject Marsala E54390 entity
Predicate sharesNameWith P15168 FINISHED
Object Marsala wine E54390 NE FINISHED

How this triple was built (2 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 wine | Statement: [Marsala, sharesNameWith, Marsala wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsala wine
Context triple: [Marsala, sharesNameWith, Marsala wine]
  • A. Marsala chosen
    Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
  • B. Malvasía wine
    Malvasía wine is a distinctive, often sweet white wine made from Malvasia grapes, traditionally produced in various Mediterranean and Atlantic regions.
  • C. Cannonau wine
    Cannonau wine is a robust red wine from Sardinia, made primarily from the Cannonau (Grenache) grape and often linked to the island’s traditional diet and longevity.
  • D. Madeira wine
    Madeira wine is a fortified Portuguese wine from the island of Madeira, renowned for its unique oxidative aging process and long-lasting, complex flavors.
  • E. Moscato d’Asti
    Moscato d’Asti is a lightly sparkling, sweet Italian white wine made from Moscato Bianco grapes, renowned for its low alcohol content and aromatic notes of peach, apricot, and orange blossom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd0f7f85c8190a60970b6adb7fe80 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c7c90c8190ba5ed3cece5e049f completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.