Triple

T14157420
Position Surface form Disambiguated ID Type / Status
Subject Ufenau E350847 entity
Predicate hasAlternativeName P39 FINISHED
Object Ufnau
Ufnau is a small Swiss island in Lake Zurich known for its historic chapel, monastery buildings, and protected natural landscape.
 E1083804 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: Ufnau | Statement: [Ufenau, hasAlternativeName, Ufnau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ufnau
Context triple: [Ufenau, hasAlternativeName, Ufnau]
  • A. Uhrovec
    Uhrovec is a village in western Slovakia known as the birthplace of prominent political figures including Alexander Dubček.
  • B. Uineasan
    Uineasan is a small, lesser-known island that forms part of the Barra Isles archipelago in Scotland’s Outer Hebrides.
  • C. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • D. Alpaida
    Alpaida was a noble Frankish woman of the early 8th century best known as the consort of Pepin of Herstal and the mother of Charles Martel.
  • E. Uttigen
    Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
  • 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: Ufnau
Triple: [Ufenau, hasAlternativeName, Ufnau]
Generated description
Ufnau is a small Swiss island in Lake Zurich known for its historic chapel, monastery buildings, and protected natural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ufnau
Target entity description: Ufnau is a small Swiss island in Lake Zurich known for its historic chapel, monastery buildings, and protected natural landscape.
  • A. Uhrovec
    Uhrovec is a village in western Slovakia known as the birthplace of prominent political figures including Alexander Dubček.
  • B. Uineasan
    Uineasan is a small, lesser-known island that forms part of the Barra Isles archipelago in Scotland’s Outer Hebrides.
  • C. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • D. Alpaida
    Alpaida was a noble Frankish woman of the early 8th century best known as the consort of Pepin of Herstal and the mother of Charles Martel.
  • E. Uttigen
    Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ef4d80819098d210503f5d22e9 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd02cee5e0819086718893d1621481 completed May 7, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd063668f4819099d52bee7e7cdc32 completed May 7, 2026, 9:37 p.m.
Created at: April 10, 2026, 12:58 a.m.