Triple

T23360652
Position Surface form Disambiguated ID Type / Status
Subject Nso E593173 entity
Predicate hasLanguage P15 FINISHED
Object Lamso
Lamso is the indigenous language spoken by the Nso people of Cameroon, belonging to the Grassfields Bantu language group.
 E1582680 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: Lamso | Statement: [Nso, hasLanguage, Lamso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lamso
Context triple: [Nso, hasLanguage, Lamso]
  • A. Lamnoni
    Lamnoni is a small village located within the municipality of Sitia on the island of Crete in Greece.
  • B. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • C. Lahmu
    Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
  • D. Lamme
    Lamme is a small river in Lower Saxony, Germany, that serves as a tributary of the Innerste.
  • E. Lamme
    Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • 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: Lamso
Triple: [Nso, hasLanguage, Lamso]
Generated description
Lamso is the indigenous language spoken by the Nso people of Cameroon, belonging to the Grassfields Bantu language group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lamso
Target entity description: Lamso is the indigenous language spoken by the Nso people of Cameroon, belonging to the Grassfields Bantu language group.
  • A. Lamnoni
    Lamnoni is a small village located within the municipality of Sitia on the island of Crete in Greece.
  • B. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • C. Lahmu
    Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
  • D. Lamme
    Lamme is a small river in Lower Saxony, Germany, that serves as a tributary of the Innerste.
  • E. Lamme
    Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a730f8819088fec53a43b063f8 completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dd385948190940cf5b878e54002 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5fa0ae848190a23b0c8c16345c26 completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c604cc84c8190946e2a35e0f736ce completed May 19, 2026, 1:06 p.m.
Created at: April 17, 2026, 5:30 p.m.