Triple

T12839632
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Gare de Lyon E307013 entity
Predicate adjacentStationOnRERA P83137 FINISHED
Object Nation (RER) E832493 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: Nation (RER) | Statement: [Paris Métro Gare de Lyon, adjacentStationOnRERA, Nation (RER)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nation (RER)
Context triple: [Paris Métro Gare de Lyon, adjacentStationOnRERA, Nation (RER)]
  • A. Nation (RER) chosen
    Nation (RER) is a major Paris RER station and transport hub located at Place de la Nation in the 11th and 12th arrondissements.
  • B. RER network
    The RER network is a rapid transit system of express suburban trains serving Paris and its surrounding metropolitan area, integrating both urban and regional rail services.
  • C. RER E
    RER E is a line of the Paris express suburban rail network (Réseau Express Régional) serving eastern suburbs and connecting them to central Paris.
  • D. RER NG
    RER NG is a new-generation double-deck electric multiple unit train designed for Île-de-France’s RER network, offering higher capacity, improved accessibility, and enhanced passenger comfort.
  • E. RER D
    RER D is one of the main lines of the Paris regional express network (RER), connecting northern and southern suburbs through central Paris.
  • 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: adjacentStationOnRERA
Context triple: [Paris Métro Gare de Lyon, adjacentStationOnRERA, Nation (RER)]
  • A. adjacentStationOnLine
    Indicates that one station is directly next to another station along the same transit line, with no other station in between.
  • B. adjacentToStation
    Indicates that one entity is located next to or immediately beside a station.
  • C. adjacentStationFormerly
    Indicates that two stations were directly adjacent to each other in the past, but are no longer adjacent in the current network configuration.
  • D. adjacentStationOnLineD chosen
    Indicates that one station is directly next to another station along line D, with no other stations in between on that line.
  • E. adjacentStationOnLine12
    Indicates that one station is directly next to another station along transit line 12, with no other stations in between on that line.
  • F. None of above.

Provenance (4 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af4f56108190b75dbf9bb144e94a completed May 3, 2026, 2:13 a.m.
PD Predicate disambiguation batch_69d96fa08cd481909a946046ba63809f completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:35 p.m.