Triple

T19899808
Position Surface form Disambiguated ID Type / Status
Subject Gunsan E478252 entity
Predicate hasPart P35 FINISHED
Object Gunsan Port NE NERFINISHED

How this triple was built (2 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: Gunsan Port | Statement: [Gunsan, hasPart, Gunsan Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunsan Port
Context triple: [Gunsan, hasPart, Gunsan Port]
  • A. Gunsan Port chosen
    Gunsan Port is a major seaport in Gunsan, South Korea, serving as an important hub for regional trade and maritime transport.
  • B. Mokpo Port
    Mokpo Port is a major seaport city in southwestern South Korea that serves as an important transportation and logistics hub, particularly for routes to Jeju Island and other coastal regions.
  • C. Jeongok Port
    Jeongok Port is a coastal harbor and marina located in Hwaseong, South Korea, serving as a regional hub for fishing, leisure boating, and marine tourism.
  • D. Dangjin Port
    Dangjin Port is a major industrial and cargo seaport on South Korea’s west coast, serving as a key hub for steel, coal, and other bulk materials.
  • E. Seongsan Port
    Seongsan Port is a coastal harbor area on Jeju Island, South Korea, serving as a gateway for marine transportation and tourism near the famous Seongsan Ilchulbong peak.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.