Triple

T19083836
Position Surface form Disambiguated ID Type / Status
Subject Doukkala-Abda E467093 entity
Predicate formerISOClassification P30139 FINISHED
Object region of Morocco 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: region of Morocco | Statement: [Doukkala-Abda, formerISOClassification, region of Morocco]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerISOClassification
Context triple: [Doukkala-Abda, formerISOClassification, region of Morocco]
  • A. formerCategory chosen
    Indicates that an entity previously belonged to a given category but no longer does.
  • B. isoClassificationStatus
    Indicates the current status or stage of an entity within an ISO-based classification or standardization process.
  • C. areClassifiedBy
    Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
  • D. classificationIntroduced
    Indicates that one entity has introduced or established a particular classification or categorization for another entity.
  • E. isClassifiedUnder
    Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34600f88190bd96bcc2c5c08d14 completed April 20, 2026, 8:26 a.m.
PD Predicate disambiguation batch_69e4b9a604308190a3235184f9f2c056 completed April 19, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:04 p.m.