Triple

T28637545
Position Surface form Disambiguated ID Type / Status
Subject Ise-Shima region E724827 entity
Predicate hostedEventLocation P147149 FINISHED
Object Shima Kanko Hotel
Shima Kanko Hotel is a historic luxury resort hotel in Japan’s Ise-Shima region, renowned for its scenic coastal setting and for hosting high-profile international gatherings such as the 2016 G7 summit.
 E1829319 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: Shima Kanko Hotel | Statement: [Ise-Shima region, hostedEventLocation, Shima Kanko Hotel]
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: Shima Kanko Hotel
Triple: [Ise-Shima region, hostedEventLocation, Shima Kanko Hotel]
Generated description
Shima Kanko Hotel is a historic luxury resort hotel in Japan’s Ise-Shima region, renowned for its scenic coastal setting and for hosting high-profile international gatherings such as the 2016 G7 summit.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hostedEventLocation
Context triple: [Ise-Shima region, hostedEventLocation, Shima Kanko Hotel]
  • A. hostedEventAreaFor
    Indicates that a particular area or location served as the venue or physical space where an event was hosted or took place.
  • B. locationOfEventOrganized chosen
    Indicates the place where a particular organized event is held or takes place.
  • C. hostsVenue
    Indicates that an entity provides or manages a location where an event or activity takes place.
  • D. eventLocationDetail
    Indicates the specific place or venue where an event occurs, often providing more granular location information than a general address or area.
  • E. countryHostedEvent
    Indicates that a specific country served as the host location for a particular event.
  • F. None of above.

Provenance (6 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_69f01d8328c48190bc0e5f9b9b848582 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc37fe42c81909e7af258cbc598ce completed May 31, 2026, 11:25 p.m.
NEDg Description generation batch_6a1cc4a74dec8190ab3ce653f778ec13 completed May 31, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc544e60081908682c3750e6ac83d completed May 31, 2026, 11:33 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 28, 2026, 4:41 a.m.