Triple

T7719353
Position Surface form Disambiguated ID Type / Status
Subject Gunsan E174966 entity
Predicate hasTransportInfrastructure P2560 FINISHED
Object Gunsan Port container terminal E684555 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: Gunsan Port container terminal | Statement: [Gunsan, hasTransportInfrastructure, Gunsan Port container terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunsan Port container terminal
Context triple: [Gunsan, hasTransportInfrastructure, Gunsan Port container terminal]
  • 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. Jeju Port
    Jeju Port is a major maritime gateway on South Korea’s Jeju Island, serving as a key hub for passenger ferries, cargo shipping, and regional tourism.
  • C. Port of Busan New Port
    Port of Busan New Port is a major deep-water container terminal complex in South Korea that serves as a key transshipment hub in the Asia-Pacific region.
  • D. Incheon Port
    Incheon Port is a major seaport in Incheon, South Korea, serving as a key gateway for international trade and maritime transport near the capital Seoul.
  • E. Jangsaengpo Port
    Jangsaengpo Port is a coastal port area in Ulsan, South Korea, historically known for its whaling industry and now a hub for marine tourism.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702eedc088190be645c029dfc462a completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be2b1c5c8190b80029ab6b8b9a3f completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:05 p.m.