Triple

T10345250
Position Surface form Disambiguated ID Type / Status
Subject Skhirat E243727 entity
Predicate locatedBetween P1262 FINISHED
Object Rabat E8849 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: Rabat | Statement: [Skhirat, locatedBetween, Rabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rabat
Context triple: [Skhirat, locatedBetween, Rabat]
  • A. Rabat chosen
    Rabat is the capital city of Morocco, located on the Atlantic coast and known for its historic medina, coastal fortifications, and role as a political and administrative center.
  • B. Rabat and Salé
    Rabat and Salé are two historically significant, closely linked Moroccan cities on the Atlantic coast, facing each other across the Bou Regreg River.
  • C. El Jadida
    El Jadida is a coastal city in western Morocco known for its historic Portuguese fortifications and status as a UNESCO World Heritage Site.
  • D. Beni Mellal
    Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
  • E. Fès-Meknès
    Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e923e3d08190971073ce41ff860f completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb5cbaec8190a9773f8d72d51c1a completed April 9, 2026, 7:17 p.m.
Created at: April 6, 2026, 11:56 a.m.