Triple

T6246032
Position Surface form Disambiguated ID Type / Status
Subject Pfaueninsel E139722 entity
Predicate hasLandmark P105 FINISHED
Object Pfaueninsel dairy 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 dairy | Statement: [Pfaueninsel, hasLandmark, Pfaueninsel dairy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfaueninsel dairy
Context triple: [Pfaueninsel, hasLandmark, Pfaueninsel dairy]
  • 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. Hartmannshof
    Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
  • C. Riedergarten
    Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
  • D. Wilhelma
    Wilhelma is a renowned zoological and botanical garden in Stuttgart, Germany, known for its extensive animal and plant collections and historic Moorish-style architecture.
  • E. Pfaueninsel Palace
    Pfaueninsel Palace is a small romantic royal residence on Berlin’s Peacock Island, built in the late 18th century as a summer retreat for the Prussian kings.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631d9e648190a59ab4001f506424 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e15e7e48190b8a79178243b01f6 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.