Triple

T30299942
Position Surface form Disambiguated ID Type / Status
Subject NSArray E770627 entity
Predicate queryMethod P859 FINISHED
Object -containsObject: 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: -containsObject: | Statement: [NSArray, queryMethod, -containsObject:]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: queryMethod
Context triple: [NSArray, queryMethod, -containsObject:]
  • A. queryModel
    Indicates that an entity requests information or computation from another entity by specifying a particular model to be used for processing the query.
  • B. method chosen
    Indicates the technique, procedure, or process used by an entity to perform an action or achieve a result.
  • C. queryEngineBasedOn
    Indicates that something is determined, implemented, or operates using a particular query engine as its underlying basis.
  • D. mappingMethods
    Indicates a relationship where one entity defines or uses specific methods or procedures to map, convert, or translate data or elements from one form, structure, or domain to another.
  • E. indexMethod
    Indicates the method or technique used to create, organize, or access an index for a given resource or dataset.
  • 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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6813976048190be49bb86744b2fb2 completed May 2, 2026, 10:56 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:48 p.m.