Triple

T14157451
Position Surface form Disambiguated ID Type / Status
Subject Lützelau E350848 entity
Predicate hasNearbyIsland P970 FINISHED
Object Ufenau E350847 NE FINISHED

How this triple was built (2 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: Ufenau | Statement: [Lützelau, hasNearbyIsland, Ufenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ufenau
Context triple: [Lützelau, hasNearbyIsland, Ufenau]
  • A. Ufenau chosen
    Ufenau is a small, historically significant island in Lake Zurich, Switzerland, known for its preserved natural landscape and medieval church buildings.
  • B. Ofunato
    Ofunato is a coastal city in northeastern Japan known for its fishing industry and the severe damage it suffered during the 2011 Tōhoku earthquake and tsunami.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Fusokyo
    Fusokyo is a component or subdivision within Sect Shinto, a branch of Shinto characterized by organized religious groups with distinct doctrines and practices.
  • E. Yamate
    Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 10, 2026, 12:58 a.m.