Triple

T17568348
Position Surface form Disambiguated ID Type / Status
Subject tokio-serde E427873 entity
Predicate serializationBackend P77631 FINISHED
Object serde 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: serde | Statement: [tokio-serde, serializationBackend, serde]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serializationBackend
Context triple: [tokio-serde, serializationBackend, serde]
  • A. serialized
    Indicates that one entity has been converted into a sequential, storable or transmittable data format representing its structure or state.
  • B. originalSerialization
    Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
  • C. serializationFormatFor chosen
    Indicates the data serialization format used to encode or represent a given resource or entity.
  • D. serializedIn
    Indicates that something is published or presented in sequential installments within a larger medium or series.
  • E. primarySerialization
    Indicates that one representation or format of an entity is designated as its main or default form for storage, transmission, or processing.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.