Triple

T3549826
Position Surface form Disambiguated ID Type / Status
Subject Yasawa Islands E75083 entity
Predicate hasIsland P970 FINISHED
Object Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
E369618 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: Nanuya Levu | Statement: [Yasawa Islands, hasIsland, Nanuya Levu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanuya Levu
Context triple: [Yasawa Islands, hasIsland, Nanuya Levu]
  • A. Nanuya Lailai
    Nanuya Lailai is a small tropical island in Fiji’s Yasawa archipelago, known for its beaches, clear lagoons, and secluded resort atmosphere.
  • B. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • C. Nolani
    Nolani are the inhabitants or natives of the city of Nola in southern Italy.
  • D. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • E. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • 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: Nanuya Levu
Triple: [Yasawa Islands, hasIsland, Nanuya Levu]
Generated description
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nanuya Levu
Target entity description: Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
  • A. Nanuya Lailai
    Nanuya Lailai is a small tropical island in Fiji’s Yasawa archipelago, known for its beaches, clear lagoons, and secluded resort atmosphere.
  • B. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • C. Nolani
    Nolani are the inhabitants or natives of the city of Nola in southern Italy.
  • D. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • E. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9218448190ae432ae74c0a6916 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bcba5e90819082ae70ba5c1b8ceb completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5a60fa08190acbb7257b515369a completed March 13, 2026, 11:31 a.m.
Created at: March 8, 2026, 3:20 p.m.