Triple

T12530226
Position Surface form Disambiguated ID Type / Status
Subject Clichy-sous-Bois E299542 entity
Predicate locatedNear P294 FINISHED
Object Montfermeil E692015 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: Montfermeil | Statement: [Clichy-sous-Bois, locatedNear, Montfermeil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montfermeil
Context triple: [Clichy-sous-Bois, locatedNear, Montfermeil]
  • A. Montfermeil chosen
    Montfermeil is a commune in the eastern suburbs of Paris, France, best known in literature as the town where Victor Hugo’s character Cosette lives with the Thénardiers in *Les Misérables*.
  • B. Villemomble
    Villemomble is a suburban commune in the eastern outskirts of Paris, France, known for its residential character and proximity to the capital.
  • C. Champs-sur-Marne
    Champs-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its historic château and role as a hub for higher education and research institutions.
  • D. Nogent-sur-Marne
    Nogent-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its riverside setting along the Marne and its residential character.
  • E. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdee6798c8190b2b47082cf0c32fb completed May 7, 2026, 6:50 p.m.
Created at: April 8, 2026, 9:57 p.m.