Triple

T19281147
Position Surface form Disambiguated ID Type / Status
Subject Tinghir E482189 entity
Predicate countrySubdivision P766 FINISHED
Object Tinghir Province NE NERFINISHED

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: Tinghir Province | Statement: [Tinghir, countrySubdivision, Tinghir Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinghir Province
Context triple: [Tinghir, countrySubdivision, Tinghir Province]
  • A. Tinghir Province chosen
    Tinghir Province is an administrative division in eastern Morocco known for its dramatic desert landscapes, palm oases, and the Todra Gorge.
  • B. Tiznit Province
    Tiznit Province is an administrative division in southern Morocco known for its historic walled city of Tiznit and its traditional silver jewelry craftsmanship.
  • C. Taounate Province
    Taounate Province is an administrative division in northern Morocco known for its mountainous terrain, rural communities, and agricultural activities.
  • D. Taourirt Province
    Taourirt Province is an administrative division in northeastern Morocco known for its strategic location as a transport hub within the Oriental Region.
  • E. Sidi Kacem Province
    Sidi Kacem Province is an administrative region in northwestern Morocco known for its agricultural activities and the city of Sidi Kacem as its capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbff1e6c819094ae6a5ad40adb65 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.