Triple

T8946708
Position Surface form Disambiguated ID Type / Status
Subject Paris–Le Havre E213237 entity
Predicate endingStationInLeHavre P86488 FINISHED
Object Le Havre station E756347 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: Le Havre station | Statement: [Paris–Le Havre, endingStationInLeHavre, Le Havre station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Havre station
Context triple: [Paris–Le Havre, endingStationInLeHavre, Le Havre station]
  • A. Gare du Havre chosen
    Gare du Havre is the main railway station in Le Havre, France, serving as a key regional and intercity transport hub.
  • B. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • C. Gare de Cherbourg
    Gare de Cherbourg is a major railway station in Cherbourg-en-Cotentin, France, serving as a key regional and intercity rail terminus in Normandy.
  • D. Gare de Caen
    Gare de Caen is the main railway station serving the city of Caen in northwestern France, providing regional and long-distance train connections.
  • E. Gare de Beaulieu-sur-Mer
    Gare de Beaulieu-sur-Mer is a coastal railway station on the French Riviera that serves the town of Beaulieu-sur-Mer with regional TER train connections.
  • 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: endingStationInLeHavre
Context triple: [Paris–Le Havre, endingStationInLeHavre, Le Havre station]
  • A. lastEuropeanPortOfCall
    Indicates the final European port at which a vessel or traveler stopped before departing for a non-European destination.
  • B. distanceFromCalais
    Indicates the measured distance separating a given place or object from the location of Calais.
  • C. isPortOfCallFor
    Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
  • D. distanceFromParisSaintLazare
    Indicates the physical distance between a given place and Paris Saint-Lazare railway station.
  • E. followingStationOnOrangeLine
    Indicates that one station is the next station in sequence after another station on the Orange Line.
  • F. None of above. chosen

Provenance (5 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66dd00c481908ff20fd66c1954cc completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69cc5ed5267c8190a43feb2a2f3df1ec completed March 31, 2026, 11:55 p.m.
PDg Predicate description generation batch_69cc60e0d7208190966797ce5f95fe49 completed April 1, 2026, 12:03 a.m.
Created at: March 30, 2026, 6:59 p.m.