Triple

T10362130
Position Surface form Disambiguated ID Type / Status
Subject Catalan municipalities E244162 entity
Predicate basicUnitOf P93873 FINISHED
Object local administration in Catalonia 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: local administration in Catalonia | Statement: [Catalan municipalities, basicUnitOf, local administration in Catalonia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basicUnitOf
Context triple: [Catalan municipalities, basicUnitOf, local administration in Catalonia]
  • A. baseUnitOf
    Indicates that one unit serves as the fundamental reference or standard measurement unit for another derived or related unit.
  • B. basedUnit
    Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
  • C. baseUnit
    Indicates that one unit is defined as the fundamental measurement unit upon which another, derived unit is based.
  • D. basedUnitType
    Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
  • E. superunitOf
    Indicates that one unit is hierarchically above and directly encompasses another unit within an organizational or structural system.
  • F. None of above. chosen

Provenance (4 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e962f08c8190a7ac489dc524510d completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
PDg Predicate description generation batch_69d4e91ce2008190af252c140370b7f2 completed April 7, 2026, 11:23 a.m.
Created at: April 6, 2026, 11:59 a.m.