Triple

T6731246
Position Surface form Disambiguated ID Type / Status
Subject Southern Oceanic languages E153637 entity
Predicate includesLanguage P2177 FINISHED
Object Araki
Araki is a highly endangered Oceanic language spoken on Araki Island in Vanuatu, known for its small speaker population and distinctive phonological features.
 E616980 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: Araki | Statement: [Southern Oceanic languages, includesLanguage, Araki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Araki
Context triple: [Southern Oceanic languages, includesLanguage, Araki]
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Itagaki
    Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
  • C. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • D. Adachi
    Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
  • E. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • 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: Araki
Triple: [Southern Oceanic languages, includesLanguage, Araki]
Generated description
Araki is a highly endangered Oceanic language spoken on Araki Island in Vanuatu, known for its small speaker population and distinctive phonological features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Araki
Target entity description: Araki is a highly endangered Oceanic language spoken on Araki Island in Vanuatu, known for its small speaker population and distinctive phonological features.
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Itagaki
    Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
  • C. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • D. Adachi
    Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
  • E. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16a30888190ae474d90bb71ac49 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713306b5081908161d3ec6a64cc85 completed March 27, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69c713de76d081908b275590d311d5fd completed March 27, 2026, 11:33 p.m.
Created at: March 27, 2026, 2:09 p.m.