Triple

T22084665
Position Surface form Disambiguated ID Type / Status
Subject OS OpenData E545740 entity
Predicate hasPart P35 FINISHED
Object OS Street View (open raster product) — 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: OS Street View (open raster product) | Statement: [OS OpenData, hasPart, OS Street View (open raster product)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OS Street View (open raster product)
Context triple: [OS OpenData, hasPart, OS Street View (open raster product)]
  • A. Look Around street-level imagery
    Look Around street-level imagery is Apple Maps’ interactive, high-resolution street-view experience that lets users virtually explore streets and surroundings in a seamless, panoramic way.
  • B. WorldView satellite imagery
    WorldView satellite imagery is a high-resolution Earth observation data product from Maxar Technologies used for detailed mapping, monitoring, and analysis of locations worldwide.
  • C. Street View Static API
    Street View Static API is a Google Maps service that lets developers embed static 360° street-level imagery into websites and applications via simple HTTP requests.
  • D. GeoEye satellite imagery
    GeoEye satellite imagery consists of high-resolution Earth observation images captured by GeoEye satellites and used for mapping, intelligence, and commercial geospatial applications.
  • E. Google Street View (early contributions)
    Google Street View (early contributions) refers to the initial development phase of Google’s panoramic street-level imagery service, in which Sebastian Thrun played a key role in creating the technology and systems that enabled large-scale image capture and mapping.
  • 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: OS Street View (open raster product)
Target entity description: OS Street View (open raster product) is a freely available Ordnance Survey mapping dataset providing detailed, street-level raster maps of Great Britain for use in digital and print applications.
  • A. Look Around street-level imagery
    Look Around street-level imagery is Apple Maps’ interactive, high-resolution street-view experience that lets users virtually explore streets and surroundings in a seamless, panoramic way.
  • B. WorldView satellite imagery
    WorldView satellite imagery is a high-resolution Earth observation data product from Maxar Technologies used for detailed mapping, monitoring, and analysis of locations worldwide.
  • C. Street View Static API
    Street View Static API is a Google Maps service that lets developers embed static 360° street-level imagery into websites and applications via simple HTTP requests.
  • D. GeoEye satellite imagery
    GeoEye satellite imagery consists of high-resolution Earth observation images captured by GeoEye satellites and used for mapping, intelligence, and commercial geospatial applications.
  • E. Google Street View (early contributions)
    Google Street View (early contributions) refers to the initial development phase of Google’s panoramic street-level imagery service, in which Sebastian Thrun played a key role in creating the technology and systems that enabled large-scale image capture and mapping.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b95e908190bd846f531eb59b50 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.