Triple

T8391401
Position Surface form Disambiguated ID Type / Status
Subject 19th arrondissement of Paris E197950 entity
Predicate borderedBy P224 FINISHED
Object Aubervilliers E691105 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: Aubervilliers | Statement: [19th arrondissement of Paris, borderedBy, Aubervilliers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubervilliers
Context triple: [19th arrondissement of Paris, borderedBy, Aubervilliers]
  • A. Aubervilliers chosen
    Aubervilliers is a densely populated suburban commune in the northeastern outskirts of Paris, known for its industrial past and cultural diversity.
  • B. Levallois-Perret
    Levallois-Perret is a densely populated suburban commune just northwest of central Paris, known for its residential character and proximity to the capital.
  • C. Arcueil
    Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
  • D. Bobigny
    Bobigny is a northeastern suburb of Paris that serves as an administrative and transport hub within the Île-de-France region.
  • E. Clichy
    Clichy is a suburban commune in the northwestern outskirts of Paris, France, known for its dense urban character and role as a residential and business hub.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810c5c5c81908e124c64911c4e6c completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5ffe43c488190b60ea41922211d53 completed April 8, 2026, 7:12 a.m.
Created at: March 30, 2026, 6:03 p.m.