Triple

T14372123
Position Surface form Disambiguated ID Type / Status
Subject Geoje E356381 entity
Predicate hasPort P35 FINISHED
Object Jangseungpo Port E611840 NE FINISHED

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: Jangseungpo Port | Statement: [Geoje, hasPort, Jangseungpo Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jangseungpo Port
Context triple: [Geoje, hasPort, Jangseungpo Port]
  • A. 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.
  • B. Jangsaengpo Port chosen
    Jangsaengpo Port is a coastal port area in Ulsan, South Korea, historically known for its whaling industry and now a hub for marine tourism.
  • C. Gunsan Port
    Gunsan Port is a major seaport in Gunsan, South Korea, serving as an important hub for regional trade and maritime transport.
  • D. Busan North Port
    Busan North Port is a major harbor area in Busan, South Korea, serving as one of the city’s key maritime and logistics hubs.
  • E. Maesong Port
    Maesong Port is a coastal port facility located in Hwaseong, South Korea, serving regional maritime transport and local fishing activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.