Triple

T2149692
Position Surface form Disambiguated ID Type / Status
Subject Meknes E47150 entity
Predicate hasCityGate P4365 FINISHED
Object Bab Berdieyinne
Bab Berdieyinne is a historic city gate in Meknes, Morocco, notable as part of the fortified entrances to the old medina.
 E240094 NE FINISHED

How this triple was built (4 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 Berdieyinne | Statement: [Meknes, hasCityGate, Bab Berdieyinne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bab Berdieyinne
Context triple: [Meknes, hasCityGate, Bab Berdieyinne]
  • A. Bayda
    Bayda is a city in eastern Libya that has served as a significant political center, including as a meeting place for the Tobruk-based House of Representatives.
  • B. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • C. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • D. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • E. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bab Berdieyinne
Triple: [Meknes, hasCityGate, Bab Berdieyinne]
Generated description
Bab Berdieyinne is a historic city gate in Meknes, Morocco, notable as part of the fortified entrances to the old medina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bab Berdieyinne
Target entity description: Bab Berdieyinne is a historic city gate in Meknes, Morocco, notable as part of the fortified entrances to the old medina.
  • A. Bayda
    Bayda is a city in eastern Libya that has served as a significant political center, including as a meeting place for the Tobruk-based House of Representatives.
  • B. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • C. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • D. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • E. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • F. None of above. chosen

Provenance (5 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc5af20808190902031d8c0bba376 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dc0b608190b5c6aed5b6b034fd completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae599c6b288190b7e173ffc505c605 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a42675c8190a019034e8a6bda21 completed March 9, 2026, 5:27 a.m.
Created at: March 4, 2026, 7:44 p.m.