Triple

T8486802
Position Surface form Disambiguated ID Type / Status
Subject Location header E200850 entity
Predicate associatedWithMethod P54902 FINISHED
Object GET 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: GET | Statement: [Location header, associatedWithMethod, GET]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithMethod
Context triple: [Location header, associatedWithMethod, GET]
  • A. associatedWithClass
    Indicates that an entity has a connection or linkage to a particular class or category, without specifying the exact nature of that relationship.
  • B. associatedWithAction chosen
    Indicates a general relationship where an entity is linked or connected to a particular action, without specifying the nature or direction of that involvement.
  • C. associatedWithAssociation
    Indicates a relationship where an entity is linked or connected to a particular association or organization.
  • D. associatedWithExpression
    Indicates a relationship where one entity is linked or connected to a particular expression (such as a phrase, symbol, or formal representation) that characterizes or represents it.
  • E. associatedWithMatch
    Indicates a relationship where an entity is linked or connected to a particular match or matching event.
  • 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.