Triple

T19356650
Position Surface form Disambiguated ID Type / Status
Subject Boumalne Dades E484164 entity
Predicate distanceFrom P1299 FINISHED
Object Tinghir 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 | Statement: [Boumalne Dades, distanceFrom, Tinghir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinghir
Context triple: [Boumalne Dades, distanceFrom, 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. Aït Ourir
    Aït Ourir is a small town in central Morocco, located east of Marrakech and known as a local market and agricultural center in the Haouz region.
  • C. Tiznit
    Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
  • D. Errachidia
    Errachidia is a city in eastern Morocco that serves as an administrative and commercial hub for the surrounding desert and oasis regions.
  • E. Aït Aïssi
    Aït Aïssi is a town located in the Kabylie region of northern Algeria, within Tizi Ouzou Province.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619096c1081909ce2cbf7ae804e73 completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.