Triple

T8883728
Position Surface form Disambiguated ID Type / Status
Subject Line 4 (Paris Métro) E211472 entity
Predicate hasStation P35 FINISHED
Object Mairie de Montrouge E199946 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: Mairie de Montrouge | Statement: [Line 4 (Paris Métro), hasStation, Mairie de Montrouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mairie de Montrouge
Context triple: [Line 4 (Paris Métro), hasStation, 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.

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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabd254148190b5ea3d308fe96851 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.