Triple

T1351997
Position Surface form Disambiguated ID Type / Status
Subject Vanuatu languages E28901 entity
Predicate includesLanguage P2177 FINISHED
Object Tamambo
Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
 E157536 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: Tamambo | Statement: [Vanuatu languages, includesLanguage, Tamambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamambo
Context triple: [Vanuatu languages, includesLanguage, Tamambo]
  • A. Tamalu
    Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • B. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • C. Tuka
    Tuka is a surname most notably associated with Vojtech Tuka, a Slovak politician and leading figure of the World War II-era Slovak State.
  • D. Tuka
    Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
  • E. Binga
    Binga is a town and district in northwestern Zimbabwe known for its location on the southern shores of Lake Kariba and its association with the Tonga people.
  • 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: Tamambo
Triple: [Vanuatu languages, includesLanguage, Tamambo]
Generated description
Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamambo
Target entity description: Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • A. Tamalu
    Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • B. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • C. Tuka
    Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
  • D. Tuka
    Tuka is a surname most notably associated with Vojtech Tuka, a Slovak politician and leading figure of the World War II-era Slovak State.
  • E. Binga
    Binga is a town and district in northwestern Zimbabwe known for its location on the southern shores of Lake Kariba and its association with the Tonga people.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26b1b4881908ae4b1b2c9b268a0 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47917d88190a13d7705f09c0b58 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd5314ac08190abf0ed287689dc5f completed March 8, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69acd59842f08190976724ad981de3d8 completed March 8, 2026, 1:49 a.m.
Created at: March 1, 2026, 7:56 p.m.