Triple

T19439307
Position Surface form Disambiguated ID Type / Status
Subject Marrakesh-Safi E486301 entity
Predicate containsProvince P11085 FINISHED
Object Rehamna 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: Rehamna Province | Statement: [Marrakesh-Safi, containsProvince, Rehamna Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rehamna Province
Context triple: [Marrakesh-Safi, containsProvince, Rehamna Province]
  • A. Rehamna Province chosen
    Rehamna Province is an administrative division in central Morocco known for its rural communities and agricultural activities within the Marrakesh-Safi region.
  • B. Daykundi Province
    Daykundi Province is a central Afghan province known for its predominantly Hazara population and mountainous terrain.
  • C. Markazi Province
    Markazi Province is a central region of Iran known for its industrial cities and strategic location connecting major parts of the country.
  • D. South Khorasan Province
    South Khorasan Province is an eastern Iranian province formed from the historical region of Khorasan, known for its deserts, saffron production, and border with Afghanistan.
  • E. Kohgiluyeh and Boyer-Ahmad Province
    Kohgiluyeh and Boyer-Ahmad Province is a mountainous, oil-rich region in southwestern Iran known for its diverse ethnic composition, including Lurs and Qashqai, and its largely rural, tribal culture.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633637ea48190bfa36b0b0a2762bc completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.