Triple

T14372132
Position Surface form Disambiguated ID Type / Status
Subject Geoje E356381 entity
Predicate hasIsland P970 FINISHED
Object Naedo
Naedo is a small island that forms part of the coastal city of Geoje in South Gyeongsang Province, South Korea.
 E1097765 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: Naedo | Statement: [Geoje, hasIsland, Naedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naedo
Context triple: [Geoje, hasIsland, Naedo]
  • A. Naoero
    Naoero is an alternative name for Nauru, a small island country in the central Pacific Ocean known for its phosphate deposits and status as one of the world’s least populous nations.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • D. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • E. Eniwa
    Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
  • 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: Naedo
Triple: [Geoje, hasIsland, Naedo]
Generated description
Naedo is a small island that forms part of the coastal city of Geoje in South Gyeongsang Province, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naedo
Target entity description: Naedo is a small island that forms part of the coastal city of Geoje in South Gyeongsang Province, South Korea.
  • A. Naoero
    Naoero is an alternative name for Nauru, a small island country in the central Pacific Ocean known for its phosphate deposits and status as one of the world’s least populous nations.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • D. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • E. Eniwa
    Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd575167e48190a7a014ba80433b9d completed May 8, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:15 a.m.