Triple

T16164908
Position Surface form Disambiguated ID Type / Status
Subject Royal Palace of Marrakech E392277 entity
Predicate nearby P350 FINISHED
Object Bab Agnaou E865951 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: Bab Agnaou | Statement: [Royal Palace of Marrakech, nearby, Bab Agnaou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bab Agnaou
Context triple: [Royal Palace of Marrakech, nearby, Bab Agnaou]
  • A. Bab Agnaou chosen
    Bab Agnaou is a monumental 12th-century stone city gate in Marrakesh, Morocco, renowned for its ornate carved decoration and status as one of the principal historic entrances to the medina.
  • B. Aït Bouaddou
    Aït Bouaddou is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
  • C. Aïn Laloui
    Aïn Laloui is a town and commune located in northern Algeria’s Bouira Province.
  • D. Aït Boumahdi
    Aït Boumahdi is a town located in the mountainous Kabylie region of northern Algeria within Tizi Ouzou Province.
  • E. Aït Mahmoud
    Aït Mahmoud is a town located in Tizi Ouzou Province in the Kabylie region of northern Algeria.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e622ae481909f3cf25b38886d3a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b69adc8190ba90d68acaaca509 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.