Triple

T7949299
Position Surface form Disambiguated ID Type / Status
Subject Milan Malpensa Airport E184573 entity
Predicate isLargestAirportFor P296 FINISHED
Object Milan metropolitan area E282022 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 metropolitan area | Statement: [Milan Malpensa Airport, isLargestAirportFor, Milan metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milan metropolitan area
Context triple: [Milan Malpensa Airport, isLargestAirportFor, Milan metropolitan area]
  • A. Metropolitan City of Milan chosen
    The Metropolitan City of Milan is an Italian administrative region centered on the city of Milan, encompassing its surrounding municipalities and serving as a major hub for finance, fashion, industry, and transportation.
  • B. Rome metropolitan area
    The Rome metropolitan area is a regional urban and economic center in northwestern Georgia, anchored by the city of Rome and its surrounding communities.
  • C. Milan
    Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
  • D. Milan
    Milan is a municipality located in Colombia’s Caquetá Department, within the Amazonian region of the country.
  • E. Milan
    Milan is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • 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: isLargestAirportFor
Context triple: [Milan Malpensa Airport, isLargestAirportFor, Milan metropolitan area]
  • A. largestAirport chosen
    Indicates that one airport is the largest (typically by area, traffic, or capacity) among a specified set or within a given region.
  • B. isMajorRegionalAirportFor
    Indicates that an airport serves as a primary or significant air travel hub for a particular region.
  • C. hasMajorAirport
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • D. hasInternationalAirport
    Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
  • E. isLargestCityIn
    Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2d09a4819097aa49e29a5426ec completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec8cfa80819082bc79645f33e18f completed April 1, 2026, 9:59 a.m.
PD Predicate disambiguation batch_69cae9361bc48190886b7681e563d46b completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:10 p.m.