Triple

T9558920
Position Surface form Disambiguated ID Type / Status
Subject Aitutaki E230619 entity
Predicate hasIsland P970 FINISHED
Object Tekopua
Tekopua is a small, uninhabited motu in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and turquoise waters.
 E806518 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: Tekopua | Statement: [Aitutaki, hasIsland, Tekopua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tekopua
Context triple: [Aitutaki, hasIsland, Tekopua]
  • A. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • B. Teke
    Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • C. Tapa
    Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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: Tekopua
Triple: [Aitutaki, hasIsland, Tekopua]
Generated description
Tekopua is a small, uninhabited motu in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and turquoise waters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tekopua
Target entity description: Tekopua is a small, uninhabited motu in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and turquoise waters.
  • A. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • B. Teke
    Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • C. Tapa
    Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994a7e9c8190b68883c2ea45aa1a completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.