Triple

T347113
Position Surface form Disambiguated ID Type / Status
Subject Gare de Lyon E6964 entity
Predicate hasIATACode P2569 FINISHED
Object XPG E37923 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: XPG | Statement: [Gare de Lyon, hasIATACode, XPG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XPG
Context triple: [Gare de Lyon, hasIATACode, XPG]
  • A. XPG chosen
    XPG is the IATA station code for Paris Gare du Nord, one of the main international railway hubs in Paris, France.
  • B. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • C. Buffalo Bell
    Buffalo Bell is a female buffalo mascot character for the Japanese professional baseball team Orix Buffaloes.
  • D. Cree
    The Cree are one of the largest Indigenous peoples of North America, with communities primarily in Canada and a rich cultural heritage including distinct Algonquian languages and traditions.
  • E. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1a37c08190b1380f6bf8513a37 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7eb6b708190b0dff991c101104f completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.