Triple

T2211614
Position Surface form Disambiguated ID Type / Status
Subject Atauro E50928 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Dadu’a
Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
 E245316 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: Dadu’a | Statement: [Atauro, hasLocalLanguage, Dadu’a]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dadu’a
Context triple: [Atauro, hasLocalLanguage, Dadu’a]
  • A. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • B. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • C. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • D. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • E. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • 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: Dadu’a
Triple: [Atauro, hasLocalLanguage, Dadu’a]
Generated description
Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dadu’a
Target entity description: Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • A. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • B. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • C. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • D. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • E. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • 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.