Triple

T12482159
Position Surface form Disambiguated ID Type / Status
Subject Peacock Island E298338 entity
Predicate hasGermanName P1435 FINISHED
Object Pfaueninsel E139722 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: Pfaueninsel | Statement: [Peacock Island, hasGermanName, Pfaueninsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfaueninsel
Context triple: [Peacock Island, hasGermanName, Pfaueninsel]
  • A. Pfaueninsel chosen
    Pfaueninsel is a small, historic island on the Havel River in Berlin, Germany, known for its romantic landscape park, palace, and free-roaming peacocks.
  • B. Maximiliansinsel
    Maximiliansinsel is a small, picturesque island located in the alpine Eibsee lake at the foot of Germany’s Zugspitze mountain.
  • C. Luiseninsel
    Luiseninsel is a small island and landscaped area within Berlin’s Großer Tiergarten park, known for its tranquil paths and natural scenery.
  • D. Margaret Island
    Margaret Island is a tranquil, park-filled island in the middle of the Danube River in Budapest, known for its recreational facilities, historic ruins, and scenic promenades.
  • E. Praterinsel
    Praterinsel is a small island in the Isar River in central Munich, known for its cultural events, historic buildings, and riverside recreation.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.