Triple

T7011915
Position Surface form Disambiguated ID Type / Status
Subject Lengo language E162602 entity
Predicate hasAlternativeName P39 FINISHED
Object Lengoʼ
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
 E636011 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: Lengoʼ | Statement: [Lengo language, hasAlternativeName, Lengoʼ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lengoʼ
Context triple: [Lengo language, hasAlternativeName, Lengoʼ]
  • A. Langa
    Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
  • B. Loenga
    Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
  • C. Ikalanga
    Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
  • D. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • E. Zangaléwa
    Zangaléwa is a popular 1986 makossa song by the Cameroonian group Golden Sounds, widely known across Africa and later internationally after being adapted into Shakira’s World Cup anthem "Waka Waka (This Time for Africa)."
  • 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: Lengoʼ
Triple: [Lengo language, hasAlternativeName, Lengoʼ]
Generated description
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lengoʼ
Target entity description: Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
  • A. Langa
    Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
  • B. Loenga
    Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
  • C. Ikalanga
    Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
  • D. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • E. Zangaléwa
    Zangaléwa is a popular 1986 makossa song by the Cameroonian group Golden Sounds, widely known across Africa and later internationally after being adapted into Shakira’s World Cup anthem "Waka Waka (This Time for Africa)."
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc5729448190af66dbd6f3e8936e completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775612fe88190822f297f2bec6cd1 completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c777902cbc8190b24ee5e441c5607e completed March 28, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69c77807d33c8190bb3e236829f06071 completed March 28, 2026, 6:41 a.m.
Created at: March 27, 2026, 2:34 p.m.