Triple

T7053041
Position Surface form Disambiguated ID Type / Status
Subject Shilha people E164015 entity
Predicate region P40 FINISHED
Object Sous-Massa
Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
 E638098 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: Sous-Massa | Statement: [Shilha people, region, Sous-Massa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sous-Massa
Context triple: [Shilha people, region, Sous-Massa]
  • A. Dolomieu
    Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
  • B. Crassier
    Crassier is a small Swiss municipality in the canton of Vaud, located near the French border in the Nyon District.
  • C. Mauguio
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • D. Mouthe
    Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
  • E. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • 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: Sous-Massa
Triple: [Shilha people, region, Sous-Massa]
Generated description
Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sous-Massa
Target entity description: Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
  • A. Dolomieu
    Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
  • B. Crassier
    Crassier is a small Swiss municipality in the canton of Vaud, located near the French border in the Nyon District.
  • C. Mauguio
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • D. Mouthe
    Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
  • E. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2515bb48190ac0efed0dd4252ad completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788980b50819085473407a176e04b completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78905c75c81908bee9a9000e05bd6 completed March 28, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69c789ecb50c8190b67bc1152b33d1eb completed March 28, 2026, 7:57 a.m.
Created at: March 27, 2026, 2:37 p.m.