Triple

T6891814
Position Surface form Disambiguated ID Type / Status
Subject Soule E159065 entity
Predicate hasTown P847 FINISHED
Object Tardets-Sorholus
Tardets-Sorholus is a small town in the Soule province of the French Basque Country, known for its traditional Basque culture and picturesque setting in the Pyrenees.
 E627062 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: Tardets-Sorholus | Statement: [Soule, hasTown, Tardets-Sorholus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tardets-Sorholus
Context triple: [Soule, hasTown, Tardets-Sorholus]
  • A. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • B. Sollerud
    Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • C. Hansson
    Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Parnas
    Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • E. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • 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: Tardets-Sorholus
Triple: [Soule, hasTown, Tardets-Sorholus]
Generated description
Tardets-Sorholus is a small town in the Soule province of the French Basque Country, known for its traditional Basque culture and picturesque setting in the Pyrenees.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tardets-Sorholus
Target entity description: Tardets-Sorholus is a small town in the Soule province of the French Basque Country, known for its traditional Basque culture and picturesque setting in the Pyrenees.
  • A. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • B. Sollerud
    Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • C. Hansson
    Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Parnas
    Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • E. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92ecbdc8190992f9c7f4f33f4c4 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748d625908190b3b1f7cfe6360016 completed March 28, 2026, 3:19 a.m.
NEDg Description generation batch_69c749f7ab5c8190ab823fac27f7484d completed March 28, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c74a6f828c8190bf0cc56227b1a5b2 completed March 28, 2026, 3:26 a.m.
Created at: March 27, 2026, 2:24 p.m.