Triple

T14266233
Position Surface form Disambiguated ID Type / Status
Subject Plötzensee E353650 entity
Predicate hasNearbyFacility P5648 FINISHED
Object Strandbad Plötzensee E353650 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: Strandbad Plötzensee | Statement: [Plötzensee, hasNearbyFacility, Strandbad Plötzensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strandbad Plötzensee
Context triple: [Plötzensee, hasNearbyFacility, Strandbad Plötzensee]
  • A. Plötzensee chosen
    Plötzensee is a small lake and popular recreational area in Berlin, known for swimming, fishing, and its adjacent park.
  • B. Ostkreuz
    Ostkreuz is one of Berlin’s busiest and most important S-Bahn interchange stations, serving as a major hub for multiple suburban rail lines.
  • C. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • D. Plötzensee Prison
    Plötzensee Prison was a notorious Nazi-era execution site in Berlin where many political prisoners and resistance members were imprisoned and killed during the Third Reich.
  • E. Halensee
    Halensee is a railway station in Berlin that serves the city's circular Ringbahn line, connecting the Halensee district to the wider urban rail network.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.