Triple

T2981736
Position Surface form Disambiguated ID Type / Status
Subject Cimetière des Batignolles E80527 entity
Predicate operator P179 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: [Cimetière des Batignolles, operator, Mairie de Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mairie de Paris
Context triple: [Cimetière des Batignolles, operator, Mairie de Paris]
  • A. 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.
  • B. 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.
  • C. Préfecture de police de Paris
    The Préfecture de police de Paris is the central police authority responsible for law enforcement, public order, and security in Paris and its immediate surroundings.
  • D. La Mairie
    La Mairie is a neighborhood of Chêne-Bougeries, a suburban municipality in the canton of Geneva, Switzerland.
  • E. Commune of Saint-Denis
    The Commune of Saint-Denis is a major suburban municipality just north of Paris, known for its historic basilica and as the site of the Stade de France.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a098e08190976eb4b019818f67 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f27d648190a7a58670fec8b74d completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.