Triple

T9241561
Position Surface form Disambiguated ID Type / Status
Subject Manila–Sydney E222070 entity
Predicate destinationAirportCity P35234 FINISHED
Object Sydney E8462 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: Sydney | Statement: [Manila–Sydney, destinationAirportCity, Sydney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney
Context triple: [Manila–Sydney, destinationAirportCity, Sydney]
  • A. Sydney
    Sydney is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her sharp intellect and complex personal relationships within its ensemble cast.
  • B. Sydney chosen
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • C. Sydney
    Sydney is the spirited, fashionable young woman who serves as the central heroine of Louisa May Alcott’s novel "An Old-Fashioned Girl."
  • D. Melbourne
    Melbourne is a major Australian city known for its vibrant arts scene, diverse culture, and status as a leading center for sports and education.
  • E. Melbourne
    Melbourne is a historic market town in Derbyshire, England, known for its Georgian architecture and the notable Melbourne Hall and gardens.
  • 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: destinationAirportCity
Context triple: [Manila–Sydney, destinationAirportCity, Sydney]
  • A. destinationCity chosen
    Indicates the city to which an entity is traveling, being sent, or ultimately directed.
  • B. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • C. startCity
    Indicates the city where a journey, route, or transportation service begins.
  • D. representedCity
    Indicates that an entity serves as the official representative or proxy for a particular city.
  • E. primaryCityAtOtherEnd
    Indicates that a given city is the main or principal city located at the opposite end of a specified route, connection, or relationship from another city.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ea9d90819096f9ca5321dffd56 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1adc2508190b8a24510ee61f092 completed April 4, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:30 p.m.