Triple

T14145552
Position Surface form Disambiguated ID Type / Status
Subject Lignes d’Azur E350538 entity
Predicate ticketingZone P69645 FINISHED
Object Nice metropolitan area E396143 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: Nice metropolitan area | Statement: [Lignes d’Azur, ticketingZone, Nice metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice metropolitan area
Context triple: [Lignes d’Azur, ticketingZone, Nice metropolitan area]
  • A. Nice metropolitan area chosen
    The Nice metropolitan area is the urban and economic region centered on the city of Nice on the French Riviera, encompassing its surrounding communes along the Mediterranean coast.
  • B. Naha urban area
    Naha urban area is the principal metropolitan and economic center of Okinawa Prefecture in Japan, encompassing the city of Naha and its surrounding urbanized regions.
  • C. International City
    International City is the nickname of Warner Robins, Georgia, reflecting its diverse community and global military connections.
  • D. Nice city centre
    Nice city centre is the vibrant commercial and cultural heart of Nice, known for its bustling shopping streets, historic architecture, and proximity to the Mediterranean waterfront.
  • E. Metropolitan
    Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • 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: ticketingZone
Context triple: [Lignes d’Azur, ticketingZone, Nice metropolitan area]
  • A. ticketingZoneType
    Indicates the type or category of ticketing zone that applies within a given area or context.
  • B. ticketingScope
    Indicates the range or domain within which ticketing actions (such as creation, assignment, or management of tickets) are valid or applicable.
  • C. ticketingLocation
    Indicates the place or point where tickets are issued, sold, or otherwise processed for an event, service, or journey.
  • D. fareZoneIncludes chosen
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • E. ticketingCode
    Indicates the specific fare or booking code associated with a ticket that defines its pricing, rules, and conditions of use.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e86820819099d6e3d3d4229f0d completed May 7, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:53 a.m.