Triple

T17079099
Position Surface form Disambiguated ID Type / Status
Subject Kodak Park E414423 entity
Predicate productTypeManufactured P90900 FINISHED
Object photographic film 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: photographic film | Statement: [Kodak Park, productTypeManufactured, photographic film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productTypeManufactured
Context triple: [Kodak Park, productTypeManufactured, photographic film]
  • A. componentTypeProduced
    Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
  • B. equipmentTypeProduced
    Indicates that an entity produces or manufactures a particular type or category of equipment.
  • C. typeOfProducts chosen
    Indicates the kinds or categories of products that are associated with or offered by an entity.
  • D. productRole
    Indicates the functional role or purpose that a product has within a broader system, context, or usage scenario.
  • E. manufacturedBy
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe0e9cc8190b6c4b6065b474d1d completed April 18, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69e35d642f74819098c014135e249b27 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:34 a.m.