Triple

T9346700
Position Surface form Disambiguated ID Type / Status
Subject Barbara E224907 entity
Predicate precededByStationOnLine4 P82752 FINISHED
Object Mairie de Montrouge E199946 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: Mairie de Montrouge | Statement: [Barbara, precededByStationOnLine4, Mairie de Montrouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mairie de Montrouge
Context triple: [Barbara, precededByStationOnLine4, Mairie de Montrouge]
  • A. Mairie de Montrouge chosen
    Mairie de Montrouge is a Paris Métro station in the southern suburb of Montrouge, serving as an important access point to the city’s Line 4.
  • B. Mairie de Montreuil
    Mairie de Montreuil is a Paris Métro station in the eastern suburb of Montreuil that serves as a key access point between the town and central Paris.
  • C. Mairie de Paris
    Mairie de Paris is the municipal government and administration of the city of Paris, responsible for managing local services, urban planning, and public spaces.
  • D. Mairie du 10e arrondissement
    Mairie du 10e arrondissement is the town hall and local administrative center for Paris’s 10th arrondissement.
  • E. Mairie du 16e arrondissement
    Mairie du 16e arrondissement is the town hall and local administrative authority for Paris’s 16th arrondissement.
  • 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: precededByStationOnLine4
Context triple: [Barbara, precededByStationOnLine4, Mairie de Montrouge]
  • A. precedingStationOnLine4 chosen
    Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
  • B. precededByStationOnLine5
    Indicates that one station directly comes before another station in the ordered sequence of stations on line 5.
  • C. precedingStationOnYellowLine
    Indicates that one station is immediately before another station along the Yellow Line in the direction of travel.
  • D. precedingStationOnBlueLine
    Indicates that one station is immediately before another station along the Blue Line route.
  • E. precedingStationOnRedLine
    Indicates that one station is immediately before another station along the route of the Red 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0f4c4c8190a94c0d44ef349d7d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e427883881909b3e71038759f064 completed April 4, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69cc7a68ab9481909f97cb70764697cc completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:41 p.m.