Triple

T2211612
Position Surface form Disambiguated ID Type / Status
Subject Atauro E50928 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Resuk
Resuk is an indigenous local language spoken by the community on Atauro Island in Timor-Leste.
 E245315 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: Resuk | Statement: [Atauro, hasLocalLanguage, Resuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Resuk
Context triple: [Atauro, hasLocalLanguage, Resuk]
  • A. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • C. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • D. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • E. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • 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: Resuk
Triple: [Atauro, hasLocalLanguage, Resuk]
Generated description
Resuk is an indigenous local language spoken by the community on Atauro Island in Timor-Leste.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Resuk
Target entity description: Resuk is an indigenous local language spoken by the community on Atauro Island in Timor-Leste.
  • A. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • C. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • D. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • E. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfecea6c8190b762bbfda8490e31 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655245c48190a37f4b6344a9a3dc completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae6656f7788190818179d923b11bba completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66cc3ac0819096e3f246b10e7761 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.