Triple

T9893944
Position Surface form Disambiguated ID Type / Status
Subject Suzuka E181521 entity
Predicate hasPort P35 FINISHED
Object Suzuka Port
Suzuka Port is a maritime port facility serving the city of Suzuka in Mie Prefecture, Japan, supporting regional industry and transportation.
 E828553 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: Suzuka Port | Statement: [Suzuka, hasPort, Suzuka Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suzuka Port
Context triple: [Suzuka, hasPort, Suzuka Port]
  • A. Shimizu Port
    Shimizu Port is a major Japanese seaport in Shizuoka renowned for its scenic views of Mount Fuji and its role in regional trade and industry.
  • B. Futami Port
    Futami Port is the main harbor and gateway for transportation and supplies to Chichijima in the Ogasawara (Bonin) Islands of Japan.
  • C. Takeley
    Takeley is a village and civil parish in Essex, England, situated near London Stansted Airport.
  • D. Samurzakano
    Samurzakano is a historical region in western Georgia traditionally inhabited by Mingrelians and known for its distinct cultural and linguistic heritage.
  • E. Sodegaura
    Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
  • 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: Suzuka Port
Triple: [Suzuka, hasPort, Suzuka Port]
Generated description
Suzuka Port is a maritime port facility serving the city of Suzuka in Mie Prefecture, Japan, supporting regional industry and transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suzuka Port
Target entity description: Suzuka Port is a maritime port facility serving the city of Suzuka in Mie Prefecture, Japan, supporting regional industry and transportation.
  • A. Shimizu Port
    Shimizu Port is a major Japanese seaport in Shizuoka renowned for its scenic views of Mount Fuji and its role in regional trade and industry.
  • B. Futami Port
    Futami Port is the main harbor and gateway for transportation and supplies to Chichijima in the Ogasawara (Bonin) Islands of Japan.
  • C. Takeley
    Takeley is a village and civil parish in Essex, England, situated near London Stansted Airport.
  • D. Samurzakano
    Samurzakano is a historical region in western Georgia traditionally inhabited by Mingrelians and known for its distinct cultural and linguistic heritage.
  • E. Sodegaura
    Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb48271d48190b718c7f6b2fe315b completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0d984c81908408f90f156624e5 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1edaceb608190a75e738a34c6d16f completed April 5, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69d1ee5b837c8190b294a78cebf141ae completed April 5, 2026, 5:08 a.m.
Created at: March 30, 2026, 8:39 p.m.