Triple

T4983961
Position Surface form Disambiguated ID Type / Status
Subject Drâa-Tafilalet E111955 entity
Predicate containsCity P294 FINISHED
Object Tinghir E482189 NE 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: Tinghir | Statement: [Drâa-Tafilalet, containsCity, Tinghir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinghir
Context triple: [Drâa-Tafilalet, containsCity, Tinghir]
  • A. Tinghir chosen
    Tinghir is a town in southeastern Morocco known for its palm oasis and proximity to the dramatic Todra Gorge in the Atlas Mountains.
  • B. Tiznit
    Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
  • C. Errachidia
    Errachidia is a city in eastern Morocco that serves as an administrative and commercial hub for the surrounding desert and oasis regions.
  • D. Chtouka Aït Baha
    Chtouka Aït Baha is a rural province and administrative area in southwestern Morocco known for its agricultural activities and Amazigh (Berber) cultural heritage.
  • E. Taounate
    Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7255d7b4819098b537df5b1a4c3c completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc9d292808190bb0213c52393b153 completed March 22, 2026, 10:52 a.m.
Created at: March 20, 2026, 1:33 p.m.