Triple

T2271956
Position Surface form Disambiguated ID Type / Status
Subject Four Corners Monument (Arizona corner) E50678 entity
Predicate hasTypeOfBoundary P1972 FINISHED
Object state boundary 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: state boundary | Statement: [Four Corners Monument (Arizona corner), hasTypeOfBoundary, state boundary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfBoundary
Context triple: [Four Corners Monument (Arizona corner), hasTypeOfBoundary, state boundary]
  • A. hasBoundaryType chosen
    Indicates that one entity has a boundary characterized by a specific type or classification in relation to another entity or context.
  • B. hasBoundaryFeature
    Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
  • C. hasBorderFacilityType
    Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
  • D. hasBoundaryEvent
    Indicates that an event occurs at or defines the boundary or limit of another entity or process.
  • E. hasBorderTerminus
    Indicates that one entity serves as the endpoint or terminal location of another entity’s border or boundary.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc39c6ff0819081a07696f1c29990 completed March 7, 2026, 6:20 a.m.
PD Predicate disambiguation batch_69abbdb7719081909143efa8f48df4e4 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.