Triple

T8486632
Position Surface form Disambiguated ID Type / Status
Subject Accept-Language E200846 entity
Predicate serverBehaviorIfUnmatched P33686 FINISHED
Object use best available language or default 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: use best available language or default | Statement: [Accept-Language, serverBehaviorIfUnmatched, use best available language or default]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serverBehaviorIfUnmatched
Context triple: [Accept-Language, serverBehaviorIfUnmatched, use best available language or default]
  • A. serverBehavior
    Indicates how a server responds to requests or events, including its actions, rules, and patterns of operation in a given context.
  • B. escapeBehavior
    Indicates a relationship where an entity actively attempts to avoid, flee from, or get away from another entity, situation, or constraint.
  • C. defaultBehavior chosen
    Indicates the standard or fallback way an entity acts or responds when no specific or overriding instructions or conditions are provided.
  • D. mayRouteTo
    Indicates that one entity is permitted or able to direct, forward, or transfer something (such as data, traffic, or requests) to another entity.
  • E. alternativeSiteConsidered
    Indicates that another possible site or location was evaluated as an option in relation to the primary one.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.