Triple

T33099824
Position Surface form Disambiguated ID Type / Status
Subject Moroccan railway network E847009 entity
Predicate hasConventionalBrand P40804 FINISHED
Object Al Atlas
Al Atlas is a branded category of conventional passenger train services operating within Morocco’s national railway network.
 E2036373 NE FINISHED

How this triple was built (3 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: Al Atlas | Statement: [Moroccan railway network, hasConventionalBrand, Al Atlas]
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: Al Atlas
Triple: [Moroccan railway network, hasConventionalBrand, Al Atlas]
Generated description
Al Atlas is a branded category of conventional passenger train services operating within Morocco’s national railway network.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasConventionalBrand
Context triple: [Moroccan railway network, hasConventionalBrand, Al Atlas]
  • A. hasBrandType
    Indicates that an entity is associated with or categorized under a particular brand type or classification.
  • B. hasBrandConcept
    Indicates that an entity is associated with or embodies a particular brand concept or branding idea.
  • C. hasCoreBrand
    Indicates that one entity possesses, is associated with, or is defined by a primary or central brand.
  • D. hasCoBrand
    Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
  • E. hasBrandName chosen
    Indicates that an entity is associated with or identified by a specific brand name.
  • F. None of above.

Provenance (6 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_69f3495686508190b76bf20fa5e00bf7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34f02d166c819087db339d79e19d83 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f0e90d74819098d317d3b13a2dff completed June 19, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a34f44bf06481909e8011dd816e6601 completed June 19, 2026, 7:48 a.m.
PD Predicate disambiguation batch_6a0379f338b881908e5593e45d764f4d completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:26 a.m.