Triple

T5548622
Position Surface form Disambiguated ID Type / Status
Subject Parc de Bagatelle E145470 entity
Predicate managedBy P86 FINISHED
Object Mairie de Paris E168655 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 Paris | Statement: [Parc de Bagatelle, managedBy, Mairie de Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mairie de Paris
Context triple: [Parc de Bagatelle, managedBy, Mairie de Paris]
  • A. Mairie du 7e arrondissement de Paris
    Mairie du 7e arrondissement de Paris is the local town hall and administrative authority for Paris’s 7th arrondissement, overseeing municipal services and governance in this central district.
  • B. Mairie du 16e arrondissement
    Mairie du 16e arrondissement is the town hall and local administrative authority for Paris’s 16th arrondissement.
  • C. Mairie du 8e arrondissement
    Mairie du 8e arrondissement is the town hall and local administrative center serving Paris’s 8th arrondissement.
  • D. Mairie de Montrouge
    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.
  • E. Hôtel de Ville de Paris chosen
    The Hôtel de Ville de Paris is the historic city hall of Paris, serving as the seat of the municipal government in a grand Renaissance Revival building on the Right Bank.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe143ec8190bb67d2530c92a419 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282dd7408190ad762fca9ff5e04b completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.