Triple

T18727878
Position Surface form Disambiguated ID Type / Status
Subject New York–Rome E457953 entity
Predicate destinationAirportCity2 P133337 FINISHED
Object Rome NE NERFINISHED

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: Rome | Statement: [New York–Rome, destinationAirportCity2, Rome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rome
Context triple: [New York–Rome, destinationAirportCity2, Rome]
  • A. Rome chosen
    Rome is the historic capital of Italy and a major cultural and religious center of the world, renowned for its ancient Roman heritage, art, and architecture.
  • B. Rome
    Rome is a British-American animated television series created by Danger Mouse that blends surreal humor, espionage themes, and distinctive visual style.
  • C. Rome
    Rome is a city in northwestern Georgia, United States, known as a regional center for education, healthcare, and manufacturing in the Appalachian foothills.
  • D. Rome
    Rome is the codename for a generation of AMD EPYC server processors based on the Zen 2 microarchitecture, known for significant improvements in performance and efficiency over its predecessors.
  • E. Roma
    Roma is a historic, centrally located neighborhood in Mexico City known for its tree-lined streets, early 20th-century architecture, and vibrant cultural and culinary scene.
  • 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: destinationAirportCity2
Context triple: [New York–Rome, destinationAirportCity2, Rome]
  • A. destinationCity
    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. otherCity
    Indicates that one city is different from and not the same as another city.
  • D. 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.
  • E. destinationAirportOfHijackedFlight
    Indicates the airport that served or was intended to serve as the destination of a hijacked flight.
  • F. None of above. chosen

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d759a288190855ade3756e03e04 completed April 20, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69e48d03766c8190a43f7681842f4f8d completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49a9bcc0c81908df3e513fd6762ff completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 11:50 a.m.