Triple

T14151934
Position Surface form Disambiguated ID Type / Status
Subject Silozi E350703 entity
Predicate hasDialects P4251 FINISHED
Object Nalolo
Nalolo is a regional dialect of the Silozi language spoken by communities in parts of western Zambia.
E1084376 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: Nalolo | Statement: [Silozi, hasDialects, Nalolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nalolo
Context triple: [Silozi, hasDialects, Nalolo]
  • A. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • B. Naharina
    Naharina is an ancient Near Eastern region, often identified with the kingdom of Mitanni, known from Egyptian and Mesopotamian sources as a powerful state in northern Mesopotamia and Syria during the second millennium BCE.
  • C. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • D. Eulau
    Eulau is a German-language surname associated with individuals such as political scientist Heinz Eulau.
  • E. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • 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: Nalolo
Triple: [Silozi, hasDialects, Nalolo]
Generated description
Nalolo is a regional dialect of the Silozi language spoken by communities in parts of western Zambia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nalolo
Target entity description: Nalolo is a regional dialect of the Silozi language spoken by communities in parts of western Zambia.
  • A. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • B. Naharina
    Naharina is an ancient Near Eastern region, often identified with the kingdom of Mitanni, known from Egyptian and Mesopotamian sources as a powerful state in northern Mesopotamia and Syria during the second millennium BCE.
  • C. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • D. Eulau
    Eulau is a German-language surname associated with individuals such as political scientist Heinz Eulau.
  • E. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ea34408190830263d7f5a88ce9 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 12:57 a.m.