Triple

T17767281
Position Surface form Disambiguated ID Type / Status
Subject Tivoli Gardens E443539 entity
Predicate founder P104 FINISHED
Object Georg Carstensen E443539 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: Georg Carstensen | Statement: [Tivoli Gardens, founder, Georg Carstensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georg Carstensen
Context triple: [Tivoli Gardens, founder, Georg Carstensen]
  • A. Georg Carstensen chosen
    Georg Carstensen was a 19th-century Danish officer and entrepreneur best known for creating Copenhagen’s famous Tivoli Gardens amusement park.
  • B. Bernhard Hanssen
    Bernhard Hanssen was a German architect best known for co-designing Hamburg’s grand neo-Renaissance city hall in the late 19th century.
  • C. Christian Teichelmann
    Christian Teichelmann was a 19th-century German Lutheran missionary and linguist known for his pioneering documentation and study of the Kaurna language of South Australia.
  • D. Carlos Ott
    Carlos Ott is a Uruguayan-born architect renowned for designing major international projects, including the Opéra Bastille in Paris.
  • E. Walter Röhrig
    Walter Röhrig was a German art director and production designer best known for his influential work on early Expressionist cinema.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e6528cf08190a304eebf76d8b79b completed May 14, 2026, 3:12 p.m.
Created at: April 10, 2026, 10:11 a.m.