Triple

T13402916
Position Surface form Disambiguated ID Type / Status
Subject Brugg District E319876 entity
Predicate hasMunicipality P847 FINISHED
Object Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
E1039172 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: Turgi | Statement: [Brugg District, hasMunicipality, Turgi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turgi
Context triple: [Brugg District, hasMunicipality, Turgi]
  • A. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • B. Tanasi
    Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
  • C. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • D. Böri
    Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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: Turgi
Triple: [Brugg District, hasMunicipality, Turgi]
Generated description
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turgi
Target entity description: Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
  • A. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • B. Tanasi
    Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
  • C. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • D. Böri
    Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73076a7ac8190bd7898edff7d90e8 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f732351cf88190be85186d20b529b7 completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732d82c308190907e11de42e2c8ea completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:34 p.m.