Triple

T30020281
Position Surface form Disambiguated ID Type / Status
Subject Kujukushima E762715 entity
Predicate hasCruiseDeparturePoint P179502 FINISHED
Object Pearl Sea Resort
Pearl Sea Resort is a waterfront leisure complex in Japan that serves as the main gateway for sightseeing cruises around the scenic Kujukushima island group.
 E1897629 NE FINISHED

How this triple was built (3 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: Pearl Sea Resort | Statement: [Kujukushima, hasCruiseDeparturePoint, Pearl Sea Resort]
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: Pearl Sea Resort
Triple: [Kujukushima, hasCruiseDeparturePoint, Pearl Sea Resort]
Generated description
Pearl Sea Resort is a waterfront leisure complex in Japan that serves as the main gateway for sightseeing cruises around the scenic Kujukushima island group.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCruiseDeparturePoint
Context triple: [Kujukushima, hasCruiseDeparturePoint, Pearl Sea Resort]
  • A. isCruisePort
    Indicates that a location functions as a port where cruise ships dock, embark, or disembark passengers.
  • B. servesCruisePort
    Indicates that one entity (typically a transportation service or route) provides service to or operates at a particular cruise port.
  • C. hasCruiseTerminalName
    Indicates that a cruise terminal is associated with a specific name or designation.
  • D. hasDepartureTo
    Indicates that a departure event originates from one place and is directed toward a specific destination.
  • E. isPortOfCallFor
    Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
  • F. None of above. chosen

Provenance (7 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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f722c1bc648190a79bfdc722dcaaa4 completed May 3, 2026, 10:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27322b86ac8190b4a290ad7bc343bc completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a273663da308190aad85b5e824384d8 completed June 8, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a273a333d4481908f4c0291bc5cd960 completed June 8, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
PDg Predicate description generation batch_69f7221bc57c819085c1464a45e61b2f completed May 3, 2026, 10:23 a.m.
Created at: April 29, 2026, 6:47 p.m.