Triple

T6512371
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Funchal E150165 entity
Predicate hasNumberOfCivilParishes P22836 FINISHED
Object 10 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: 10 | Statement: [Municipality of Funchal, hasNumberOfCivilParishes, 10]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCivilParishes
Context triple: [Municipality of Funchal, hasNumberOfCivilParishes, 10]
  • A. hasCivilParishStatus
    Indicates that an entity holds the official administrative status or designation of a civil parish.
  • B. hasParishCouncils
    Indicates that an entity possesses, is served by, or is administratively associated with one or more parish councils.
  • C. numberOfParishes chosen
    Indicates the total count of parishes associated with a given entity.
  • D. hasCivilParishName
    Indicates that an entity has a specific civil parish name as its designated official name at the civil parish level.
  • E. hasNumberOfConstituencies
    Indicates the specific count of constituencies associated with an entity.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3c5eb88190a56723acd8096dd8 completed March 27, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69c68ab98c78819081743e614df04e1d completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:44 p.m.