Triple

T9684351
Position Surface form Disambiguated ID Type / Status
Subject Glâne District E234366 entity
Predicate containsMunicipality P852 FINISHED
Object Ursy
Ursy is a municipality in the canton of Fribourg in western Switzerland, situated in the predominantly rural and French-speaking region of Glâne.
E815276 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: Ursy | Statement: [Glâne District, containsMunicipality, Ursy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursy
Context triple: [Glâne District, containsMunicipality, Ursy]
  • A. Urs
    Urs is a masculine given name of Germanic origin, commonly used in German-speaking and some other European countries.
  • B. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • C. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • D. Urhay
    Urhay is the ancient Aramaic name for the city of Edessa, a historically significant center in Upper Mesopotamia known for its early Christian heritage and strategic location.
  • E. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • 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: Ursy
Triple: [Glâne District, containsMunicipality, Ursy]
Generated description
Ursy is a municipality in the canton of Fribourg in western Switzerland, situated in the predominantly rural and French-speaking region of Glâne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ursy
Target entity description: Ursy is a municipality in the canton of Fribourg in western Switzerland, situated in the predominantly rural and French-speaking region of Glâne.
  • A. Urs
    Urs is a masculine given name of Germanic origin, commonly used in German-speaking and some other European countries.
  • B. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • C. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • D. Urhay
    Urhay is the ancient Aramaic name for the city of Edessa, a historically significant center in Upper Mesopotamia known for its early Christian heritage and strategic location.
  • E. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccf21a08190a1302b933b9e50be completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19375fd8481909620e8e68d73ec17 completed April 4, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.