Triple

T23553528
Position Surface form Disambiguated ID Type / Status
Subject Berlin Alexanderplatz E578117 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object World Clock NE NERFINISHED

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: World Clock | Statement: [Berlin Alexanderplatz, hasNearbyLandmark, World Clock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Clock
Context triple: [Berlin Alexanderplatz, hasNearbyLandmark, World Clock]
  • A. World Time Clock chosen
    The World Time Clock is a large, rotating timepiece and popular meeting point in Berlin’s Alexanderplatz that displays the current time in cities around the globe.
  • B. World Clock by Jens Olsen
    The World Clock by Jens Olsen is an elaborate astronomical clock in Copenhagen’s City Hall renowned for its intricate mechanics and precise display of celestial and calendar data.
  • C. OurTime
    OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
  • D. GMT360
    GMT360 is General Motors' mid-size SUV platform used in the early 2000s for body-on-frame sport utility vehicles across several of its brands.
  • E. Time Zone
    Time Zone was a hip hop and electro music project led by Afrika Bambaataa that featured various collaborations and genre-blending experiments in the 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.