Triple

T10035450
Position Surface form Disambiguated ID Type / Status
Subject 沙面岛 E204952 entity
Predicate 城市功能 P8346 FINISHED
Object 旅游休闲区 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: 旅游休闲区 | Statement: [沙面岛, 城市功能, 旅游休闲区]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 城市功能
Context triple: [沙面岛, 城市功能, 旅游休闲区]
  • 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. cityFunctionIllustrated
    Indicates that the function, role, or purpose of a city is being depicted or exemplified, typically through an image, diagram, or illustrative representation.
  • C. workCity
    Indicates the city in which an entity (typically a person) performs their work or job.
  • D. urbanPlanningFunction
    Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
  • E. hasUrbanDistrictFunction
    Indicates that an entity serves the administrative or functional role of an urban district within a larger territorial or governance structure.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69cd4b8638508190b22acc65500ec7d6 completed April 1, 2026, 4:44 p.m.
Created at: March 30, 2026, 8:55 p.m.