Triple

T17070453
Position Surface form Disambiguated ID Type / Status
Subject Les Courtilles E414202 entity
Predicate ticketingSystem P3383 FINISHED
Object Navigo E227653 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: Navigo | Statement: [Les Courtilles, ticketingSystem, Navigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navigo
Context triple: [Les Courtilles, ticketingSystem, Navigo]
  • A. Navigo chosen
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • B. Amasra
    Amasra is a historic coastal town and popular tourist destination on Turkey’s Black Sea coast, known for its scenic harbor, beaches, and ancient fortifications.
  • C. Ussita
    Ussita is a small mountain town in Italy’s Marche region, known for its location in the Sibillini Mountains and its traditional rural character.
  • D. Maleva
    Maleva is the wise Romani woman and mother of the original Wolf Man who serves as a mystical guide and bearer of the werewolf curse’s lore in Universal’s classic horror films.
  • E. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc0982c8190916f9905ddb5e575 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01235278d48190bacc7881b9eb1ea1 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.