Triple

T8849298
Position Surface form Disambiguated ID Type / Status
Subject Bergamo E210593 entity
Predicate nearbyAirportServes P51581 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: [Bergamo, nearbyAirportServes, Milan metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milan metropolitan area
Context triple: [Bergamo, nearbyAirportServes, 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 masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • E. Milan
    Milan is a municipality located in Colombia’s Caquetá Department, within the Amazonian region of the country.
  • 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: nearbyAirportServes
Context triple: [Bergamo, nearbyAirportServes, Milan metropolitan area]
  • A. nearestAirport
    Indicates that one airport is the closest in distance to a given location or entity compared to all other airports.
  • B. nearbyAirportCorridor
    Indicates that an airport corridor is located close to or within a short distance of a given reference location or area.
  • C. nearbyAirportTerminal
    Indicates that one airport terminal is located close to another airport terminal in physical space.
  • D. associatedAirportServes chosen
    Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
  • E. airportLocatedNear
    Indicates that an airport is situated close to a specified place or geographic feature.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60abb0748190af41d4e1f419e39c completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab821e808190a918bf787cde54b6 completed April 3, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69cc5c25b874819084c9ba391703e066 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:49 p.m.