Triple

T10171439
Position Surface form Disambiguated ID Type / Status
Subject Aix-en-Provence TGV station E235338 entity
Predicate hasConnection P8776 FINISHED
Object Nice-Ville station E469626 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: Nice-Ville station | Statement: [Aix-en-Provence TGV station, hasConnection, Nice-Ville station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice-Ville station
Context triple: [Aix-en-Provence TGV station, hasConnection, Nice-Ville station]
  • A. Nice-Ville station chosen
    Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
  • B. Saint-Gratien station
    Saint-Gratien station is a suburban railway station in Saint-Gratien, France, serving regional commuter trains in the northern outskirts of Paris.
  • C. Saint-Laurent station
    Saint-Laurent station is a Montreal Metro station on the Green Line located in the city's downtown entertainment district.
  • D. Vaneau station
    Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
  • E. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd93b506c8190bbff63903770355a completed April 12, 2026, 5:41 p.m.
Created at: March 30, 2026, 9:10 p.m.