Triple

T18350365
Position Surface form Disambiguated ID Type / Status
Subject Site des Carmes E439651 entity
Predicate locatedIn P40 FINISHED
Object Carmes district NE NERFINISHED

How this triple was built (3 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: Carmes district | Statement: [Site des Carmes, locatedIn, Carmes district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmes district
Context triple: [Site des Carmes, locatedIn, Carmes district]
  • A. Balard district
    The Balard district is a neighborhood in southwest Paris known for hosting major French defense and aerospace institutions, including the Ministry of the Armed Forces headquarters.
  • B. Beaugrenelle district
    The Beaugrenelle district is a modern riverside neighborhood in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
  • C. Monte Carlo district
    Monte Carlo district is a famed quarter of Monaco known for its luxury casinos, upscale hotels, and role as a major center of high-end tourism and entertainment.
  • D. Saint-Lazare district
    The Saint-Lazare district is a busy commercial and transport hub in central Paris, centered around the Gare Saint-Lazare railway station and its surrounding shopping streets and offices.
  • E. Saint-Georges quarter
    Saint-Georges quarter is a historic neighborhood in Lyon’s 5th arrondissement, known for its old streets, traditional architecture, and proximity to the Saône River in the city’s UNESCO-listed area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carmes district
Target entity description: The Carmes district is a historic central neighborhood known for its narrow streets, traditional architecture, and vibrant local life.
  • A. Balard district
    The Balard district is a neighborhood in southwest Paris known for hosting major French defense and aerospace institutions, including the Ministry of the Armed Forces headquarters.
  • B. Beaugrenelle district
    The Beaugrenelle district is a modern riverside neighborhood in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
  • C. Monte Carlo district
    Monte Carlo district is a famed quarter of Monaco known for its luxury casinos, upscale hotels, and role as a major center of high-end tourism and entertainment.
  • D. Saint-Lazare district
    The Saint-Lazare district is a busy commercial and transport hub in central Paris, centered around the Gare Saint-Lazare railway station and its surrounding shopping streets and offices.
  • E. Saint-Georges quarter
    Saint-Georges quarter is a historic neighborhood in Lyon’s 5th arrondissement, known for its old streets, traditional architecture, and proximity to the Saône River in the city’s UNESCO-listed area.
  • F. None of above. chosen

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f7700c8190ae220de870e69304 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.