Triple

T6839576
Position Surface form Disambiguated ID Type / Status
Subject Tamambo E157536 entity
Predicate hasAlternativeName P39 FINISHED
Object Malo
Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
 E622226 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: Malo | Statement: [Tamambo, hasAlternativeName, Malo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malo
Context triple: [Tamambo, hasAlternativeName, Malo]
  • A. Mala
    Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
  • B. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • C. Malwi
    Malwi is an Indo-Aryan language spoken primarily in the Malwa region of the Indian state of Madhya Pradesh.
  • D. Malyk
    Malyk is a given name, typically a variant spelling of Malik, used as a masculine personal name in various cultures.
  • E. Malohont
    Malohont is a historical region in southern Slovakia known for its rural landscapes, traditional culture, and small towns.
  • 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: Malo
Triple: [Tamambo, hasAlternativeName, Malo]
Generated description
Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malo
Target entity description: Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
  • A. Mala
    Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
  • B. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • C. Malwi
    Malwi is an Indo-Aryan language spoken primarily in the Malwa region of the Indian state of Madhya Pradesh.
  • D. Malyk
    Malyk is a given name, typically a variant spelling of Malik, used as a masculine personal name in various cultures.
  • E. Malohont
    Malohont is a historical region in southern Slovakia known for its rural landscapes, traditional culture, and small towns.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b2ee248190991c3e827be75bb7 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c724047c048190b1cf6901f1577e01 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724d7f0308190abb494ea663ceeb9 completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:19 p.m.