Triple

T9907601
Position Surface form Disambiguated ID Type / Status
Subject LIML E185051 entity
Predicate locatedNear P294 FINISHED
Object Linate E35249 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: Linate | Statement: [LIML, locatedNear, Linate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linate
Context triple: [LIML, locatedNear, Linate]
  • A. Milan Bergamo Airport
    Milan Bergamo Airport is a major low-cost international airport in northern Italy that serves the Milan metropolitan area and is a key base for Ryanair’s European operations.
  • B. Milan Malpensa Airport
    Milan Malpensa Airport is a major international airport serving the Milan metropolitan area in northern Italy and one of the country’s busiest air transport hubs.
  • C. Milan Linate Airport chosen
    Milan Linate Airport is a major city airport serving Milan, Italy, primarily handling domestic and short-haul European flights close to the city center.
  • D. Brescia Montichiari Airport
    Brescia Montichiari Airport is a regional airport in northern Italy that primarily handles cargo traffic and serves the area around the city of Brescia.
  • E. Turin Airport
    Turin Airport is the main international airport serving the city of Turin and the surrounding Piedmont region in northern Italy.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50ec61481908f42bd2aa55d9a6e completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e531dfa48190b57fcd2444de1ab7 completed April 5, 2026, 10:41 p.m.
Created at: March 30, 2026, 8:41 p.m.