Triple

T22989306
Position Surface form Disambiguated ID Type / Status
Subject Sinpo South Shipyard E572002 entity
Predicate locatedIn P40 FINISHED
Object Sinpo
Sinpo is a coastal city in North Korea known for its strategic naval facilities and shipbuilding industry.
E1565080 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: Sinpo | Statement: [Sinpo South Shipyard, locatedIn, Sinpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinpo
Context triple: [Sinpo South Shipyard, locatedIn, Sinpo]
  • A. Jangsaengpo
    Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
  • B. Odaesan
    Odaesan is a prominent mountain in South Korea known for its scenic national park, rich biodiversity, and important Buddhist temples such as Woljeongsa.
  • C. Ungjin
    Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
  • D. Seogwipo
    Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
  • E. Haeju
    Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
  • 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: Sinpo
Triple: [Sinpo South Shipyard, locatedIn, Sinpo]
Generated description
Sinpo is a coastal city in North Korea known for its strategic naval facilities and shipbuilding industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sinpo
Target entity description: Sinpo is a coastal city in North Korea known for its strategic naval facilities and shipbuilding industry.
  • A. Jangsaengpo
    Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
  • B. Odaesan
    Odaesan is a prominent mountain in South Korea known for its scenic national park, rich biodiversity, and important Buddhist temples such as Woljeongsa.
  • C. Ungjin
    Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
  • D. Seogwipo
    Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
  • E. Haeju
    Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182ea55cc8190b64b722ce8c45b53 completed April 29, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd3792ad0819094416aebc79ab1f7 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd40988808190add22943683b7a1b completed May 19, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd503b1588190979b9895327a3475 completed May 19, 2026, 3:12 a.m.
Created at: April 17, 2026, 3:49 p.m.