Triple

T7206840
Position Surface form Disambiguated ID Type / Status
Subject Yeongjong Island E148685 entity
Predicate near P350 FINISHED
Object Wolmido
Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
 E648393 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: Wolmido | Statement: [Yeongjong Island, near, Wolmido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolmido
Context triple: [Yeongjong Island, near, Wolmido]
  • A. Wolamo
    Wolamo is an alternative name for the Wolaytta people, an ethnic group primarily living in southern Ethiopia with their own distinct language and culture.
  • B. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • C. Wadomari
    Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
  • D. Grombalia
    Grombalia is a town in northeastern Tunisia known for its agricultural production, particularly vineyards and olive groves.
  • E. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • 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: Wolmido
Triple: [Yeongjong Island, near, Wolmido]
Generated description
Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolmido
Target entity description: Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
  • A. Wolamo
    Wolamo is an alternative name for the Wolaytta people, an ethnic group primarily living in southern Ethiopia with their own distinct language and culture.
  • B. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • C. Wadomari
    Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
  • D. Grombalia
    Grombalia is a town in northeastern Tunisia known for its agricultural production, particularly vineyards and olive groves.
  • E. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e969c5fc819096bc03bfba12d0cf completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc0ac008190b3ea46b4e5f13287 completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c071778881909a82eedf61cae22b completed March 28, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7c111e05c8190a9cfba3fca1f8198 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:52 p.m.