Triple

T4959278
Position Surface form Disambiguated ID Type / Status
Subject Souss-Massa E111363 entity
Predicate containsCity P294 FINISHED
Object Taliouine E451320 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: Taliouine | Statement: [Souss-Massa, containsCity, Taliouine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taliouine
Context triple: [Souss-Massa, containsCity, Taliouine]
  • A. Taliouine chosen
    Taliouine is a small town in southern Morocco renowned as one of the country’s main saffron-producing centers and a gateway to the Jbel Sirwa region.
  • B. Guellala
    Guellala is a traditional pottery-making village on the Tunisian island of Djerba, known for its distinctive ceramics and cultural heritage.
  • C. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • D. Aït Melloul
    Aït Melloul is a town in southwestern Morocco that forms part of the greater Agadir metropolitan area and serves as an important local commercial and residential hub.
  • E. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec3473b988190a4e98b42080c46e8 completed March 21, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:32 p.m.