Triple

T16981321
Position Surface form Disambiguated ID Type / Status
Subject Irish Transverse Mercator E411950 entity
Predicate accuracyClass P62233 FINISHED
Object high-precision geospatial framework 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: high-precision geospatial framework | Statement: [Irish Transverse Mercator, accuracyClass, high-precision geospatial framework]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accuracyClass
Context triple: [Irish Transverse Mercator, accuracyClass, high-precision geospatial framework]
  • A. hasAccuracy chosen
    Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
  • B. areClassifiedBy
    Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
  • C. accuracyDependsOn
    Indicates that the accuracy of one entity or process is contingent upon, or influenced by, another entity or factor.
  • D. outputClassification
    Indicates how a given output is categorized or labeled according to a specified classification scheme.
  • E. classificationLevel
    Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18776c081909225620fd43aca57 completed April 18, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69e35d4dff4881909b384e30f2d36bff completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.