Triple

T19748828
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Towers E474321 entity
Predicate shortName P43 FINISHED
Object Hamburg Towers 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: Hamburg Towers | Statement: [Hamburg Towers, shortName, Hamburg Towers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg Towers
Context triple: [Hamburg Towers, shortName, Hamburg Towers]
  • A. Hamburg Towers chosen
    Hamburg Towers is a professional basketball club based in Hamburg, Germany, competing in the country’s top-tier Basketball Bundesliga.
  • B. Commerzbank Tower
    Commerzbank Tower is a prominent Frankfurt skyscraper known for its innovative eco-friendly design and status as one of Europe’s tallest office buildings.
  • C. Euro-Tower
    Euro-Tower is a panoramic observation tower attraction at Europa-Park that lifts visitors high above the park for 360-degree views of the surrounding area.
  • D. Reichenturm
    Reichenturm is a historic leaning tower and prominent medieval landmark in the Saxon town of Bautzen, Germany.
  • E. Hamburg TV Tower
    The Hamburg TV Tower is a prominent telecommunications and observation tower in Hamburg, Germany, named after physicist Heinrich Hertz and serving as a notable city landmark.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65296fa80819085aa4a18153531cf completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:47 p.m.