Triple

T276805
Position Surface form Disambiguated ID Type / Status
Subject Melania Trump E5266 entity
Predicate modeledIn P626 FINISHED
Object Milan E11464 NE FINISHED

How this triple was built (3 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 | Statement: [Melania Trump, modeledIn, Milan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milan
Context triple: [Melania Trump, modeledIn, Milan]
  • A. Milan chosen
    Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
  • B. Turin
    Turin is a major city in northern Italy known for its rich history, Baroque architecture, automotive industry, and role as a cultural and economic hub.
  • C. Bologna
    Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
  • D. Padua
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • E. Naples
    Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modeledIn
Context triple: [Melania Trump, modeledIn, Milan]
  • A. appearsIn
    Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
  • B. presentedIn
    Indicates that something is shown, displayed, or formally introduced within a particular context, medium, event, or setting.
  • C. bestSeenIn
    Indicates that something is most effectively or appropriately experienced, observed, or appreciated within a particular context, medium, or setting.
  • D. featuredIn chosen
    Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
  • E. notedIn
    Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
  • F. None of above.

Provenance (4 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25ded68c88190b1fc595ce329aeb9 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a405f0fd548190bd4d2ed1ddf7dff0 completed March 1, 2026, 9:25 a.m.
PD Predicate disambiguation batch_69a25b7480e881909399beccfc7ffb81 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.