Triple

T9889635
Position Surface form Disambiguated ID Type / Status
Subject Banliang coin E181419 entity
Predicate corrosionProduct P83279 FINISHED
Object patina 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: patina | Statement: [Banliang coin, corrosionProduct, patina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: corrosionProduct
Context triple: [Banliang coin, corrosionProduct, patina]
  • A. chemicalTypeProduced
    Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
  • B. componentTypeProduced
    Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
  • C. byProduct chosen
    Indicates that one entity is produced incidentally or as a secondary result of a process, activity, or creation involving another entity.
  • D. secondaryProducts
    Indicates that certain entities arise as secondary or byproduct outputs from a primary process, activity, or production.
  • E. productionElement
    Indicates that one entity functions as a component, ingredient, or constituent used in the creation, manufacture, or production of another entity.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47be2988190811a99dc56ae542a completed April 2, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69cd1d810ed48190a252b70e9390c8f3 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:39 p.m.