Triple

T18822627
Position Surface form Disambiguated ID Type / Status
Subject Palazzo Anguissola E460298 entity
Predicate locatedNear P294 FINISHED
Object Milan financial center NE NERFINISHED

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: Milan financial center | Statement: [Palazzo Anguissola, locatedNear, Milan financial center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milan financial center
Context triple: [Palazzo Anguissola, locatedNear, Milan financial center]
  • A. Milan city centre chosen
    Milan city centre is the historic and commercial heart of Milan, known for its dense network of streets, major business districts, and proximity to landmarks like the Duomo and the fashion quadrilateral.
  • B. Milan
    Milan is a village in northern Ohio best known as the birthplace of inventor Thomas Edison and for its historic canal-era architecture.
  • C. Milan
    Milan is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • D. Milan
    Milan is a municipality located in Colombia’s Caquetá Department, within the Amazonian region of the country.
  • E. Milan
    Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bbc7148190819252071a765975 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.