Triple

T8283115
Position Surface form Disambiguated ID Type / Status
Subject MedienHafen E193726 entity
Predicate hasLandmarkBuilding P14728 FINISHED
Object Rheinturm E195583 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: Rheinturm | Statement: [MedienHafen, hasLandmarkBuilding, Rheinturm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rheinturm
Context triple: [MedienHafen, hasLandmarkBuilding, Rheinturm]
  • A. Rheinturm chosen
    Rheinturm is a prominent telecommunications tower and observation landmark on the Rhine River, offering panoramic views of Düsseldorf and its surroundings.
  • B. Reichenturm
    Reichenturm is a historic leaning tower and prominent medieval landmark in the Saxon town of Bautzen, Germany.
  • C. Deutsche Funkturm
    Deutsche Funkturm is a German telecommunications infrastructure company responsible for operating and managing numerous broadcasting and radio towers across Germany.
  • D. Reichenbacher Turm
    Reichenbacher Turm is a historic medieval defensive tower and city gate in Görlitz, Germany, notable for its well-preserved architecture and role in the town’s fortifications.
  • 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 (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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6877b8e481908ec1e0b91a5276f6 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.