Triple

T37661485
Position Surface form Disambiguated ID Type / Status
Subject End Midlands E937726 entity
Predicate canGenerateStructure P64053 FINISHED
Object End City 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: End City | Statement: [End Midlands, canGenerateStructure, End City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canGenerateStructure
Context triple: [End Midlands, canGenerateStructure, End City]
  • A. producesStructure chosen
    Indicates that one entity generates, forms, or creates a physical or conceptual structure as a result of its action or function.
  • B. haveStructure
    Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
  • C. canBeConstructedWith
    Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
  • D. definesStructure
    Indicates that one entity specifies or determines the organizational form, composition, or arrangement of another entity.
  • E. enablesStructure
    Indicates that one entity provides the necessary conditions or functionality for another entity to be formed, organized, or structurally realized.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbb084760c8190a1554985d3c3cb7a completed May 6, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69fbadf3cb548190ba3b7514f76b790a completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:18 p.m.