Triple

T7407980
Position Surface form Disambiguated ID Type / Status
Subject Tomini–Tolitoli languages E170927 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Totoli
Totoli is an Austronesian language spoken by a small community in Central Sulawesi, Indonesia, and is part of the Tomini–Tolitoli subgroup.
 E661502 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: Totoli | Statement: [Tomini–Tolitoli languages, hasMemberLanguage, Totoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Totoli
Context triple: [Tomini–Tolitoli languages, hasMemberLanguage, Totoli]
  • A. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • B. Tota
    Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
  • C. Tomomi
    Tomomi is a Japanese given name that can be used for people of any gender.
  • D. Tchi-tchi
    "Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
  • E. 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.
  • 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: Totoli
Triple: [Tomini–Tolitoli languages, hasMemberLanguage, Totoli]
Generated description
Totoli is an Austronesian language spoken by a small community in Central Sulawesi, Indonesia, and is part of the Tomini–Tolitoli subgroup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Totoli
Target entity description: Totoli is an Austronesian language spoken by a small community in Central Sulawesi, Indonesia, and is part of the Tomini–Tolitoli subgroup.
  • A. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • B. Tota
    Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
  • C. Tomomi
    Tomomi is a Japanese given name that can be used for people of any gender.
  • D. Tchi-tchi
    "Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
  • E. 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.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111fcd948190adbe6280df53a916 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c8128aaab08190926a782b379d364f completed March 28, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69c812df0b948190805862c5f176c956 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:10 p.m.