Triple

T12930002
Position Surface form Disambiguated ID Type / Status
Subject Étienne Marcel E309349 entity
Predicate servesUrbanFunction P8346 FINISHED
Object access to central Paris shopping district LITERAL 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: access to central Paris shopping district | Statement: [Étienne Marcel, servesUrbanFunction, access to central Paris shopping district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesUrbanFunction
Context triple: [Étienne Marcel, servesUrbanFunction, access to central Paris shopping district]
  • A. hasUrbanFunction chosen
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • B. hasUrbanDistrictFunction
    Indicates that an entity serves the administrative or functional role of an urban district within a larger territorial or governance structure.
  • C. hasUrbanRole
    Indicates that an entity plays a specific functional or social role within an urban or city context.
  • D. withinUrbanArea
    Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
  • E. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • F. None of above.

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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97245b6408190816d9b7e314eb51a completed April 10, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69d96fab4d0881909a7a4d66bab9aa85 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:42 p.m.