Triple

T9500111
Position Surface form Disambiguated ID Type / Status
Subject Naantali E229113 entity
Predicate touristAttraction P530 FINISHED
Object Naantali Spa
Naantali Spa is a renowned Finnish seaside spa and hotel resort known for its wellness services and picturesque coastal setting in Naantali.
 E229113 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: Naantali Spa | Statement: [Naantali, touristAttraction, Naantali Spa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naantali Spa
Context triple: [Naantali, touristAttraction, Naantali Spa]
  • A. Naantali
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • B. Savonlinna
    Savonlinna is a Finnish lakeside city in the Saimaa lake district, best known for its medieval Olavinlinna Castle and annual international opera festival.
  • C. Tapiola
    Tapiola is a well-known garden city–style district in Espoo, Finland, recognized for its modernist architecture, green spaces, and cultural amenities.
  • D. Ämmänsaari
    Ämmänsaari is the main built-up area and administrative center of the municipality of Suomussalmi in northeastern Finland.
  • E. Paimio
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • 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: Naantali Spa
Triple: [Naantali, touristAttraction, Naantali Spa]
Generated description
Naantali Spa is a renowned Finnish seaside spa and hotel resort known for its wellness services and picturesque coastal setting in Naantali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naantali Spa
Target entity description: Naantali Spa is a renowned Finnish seaside spa and hotel resort known for its wellness services and picturesque coastal setting in Naantali.
  • A. Naantali chosen
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • B. Savonlinna
    Savonlinna is a Finnish lakeside city in the Saimaa lake district, best known for its medieval Olavinlinna Castle and annual international opera festival.
  • C. Tapiola
    Tapiola is a well-known garden city–style district in Espoo, Finland, recognized for its modernist architecture, green spaces, and cultural amenities.
  • D. Ämmänsaari
    Ämmänsaari is the main built-up area and administrative center of the municipality of Suomussalmi in northeastern Finland.
  • E. Paimio
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • F. None of above.

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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983c308c8190bde6858ac1ca8ea5 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d412a008190adc82e1e3d56d107 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d1313e3bac819097169f2f34cb19b4 completed April 4, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69d131a254b08190a071e838c3e56513 completed April 4, 2026, 3:43 p.m.
Created at: March 30, 2026, 7:56 p.m.