Triple

T18449659
Position Surface form Disambiguated ID Type / Status
Subject Courchavon E450745 entity
Predicate hasRailwayStation P918 FINISHED
Object Courchavon railway station 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: Courchavon railway station | Statement: [Courchavon, hasRailwayStation, Courchavon railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courchavon railway station
Context triple: [Courchavon, hasRailwayStation, Courchavon railway station]
  • A. Taverny station
    Taverny station is a suburban railway stop in the Val-d'Oise department of northern France that serves the commune of Taverny on the Transilien network from Paris.
  • B. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • C. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • D. Parc station
    Parc station is a metro stop on the Charleroi Metro network in Charleroi, Belgium.
  • E. Parc station
    Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Courchavon railway station
Target entity description: Courchavon railway station is a small regional train stop in the municipality of Courchavon in the Swiss canton of Jura.
  • A. Taverny station
    Taverny station is a suburban railway stop in the Val-d'Oise department of northern France that serves the commune of Taverny on the Transilien network from Paris.
  • B. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • C. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • D. Parc station
    Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
  • E. Parc station
    Parc station is a metro stop on the Charleroi Metro network in Charleroi, Belgium.
  • F. None of above. chosen

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.