Triple

T10670973
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt skyline E251483 entity
Predicate hasPart P35 FINISHED
Object Messeturm
Messeturm is a prominent postmodern skyscraper in Frankfurt, Germany, known as one of the city's tallest and most recognizable landmarks.
 E879570 NE FINISHED

How this triple was built (4 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: Messeturm | Statement: [Frankfurt skyline, hasPart, Messeturm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Messeturm
Context triple: [Frankfurt skyline, hasPart, Messeturm]
  • A. Blaserturm
    Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
  • B. Schmalzturm
    Schmalzturm is a historic medieval tower and notable architectural landmark in the Bavarian town of Weißenburg in Bayern, Germany.
  • C. Schmalzturm
    Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
  • D. Wachtturm
    Wachtturm is one of the historic defensive towers incorporated into Lucerne’s medieval Musegg Wall fortifications in Switzerland.
  • E. Zytturm
    Zytturm is a historic clock tower in Lucerne, Switzerland, known for its prominent clock face and role as part of the city’s medieval fortifications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Messeturm
Triple: [Frankfurt skyline, hasPart, Messeturm]
Generated description
Messeturm is a prominent postmodern skyscraper in Frankfurt, Germany, known as one of the city's tallest and most recognizable landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Messeturm
Target entity description: Messeturm is a prominent postmodern skyscraper in Frankfurt, Germany, known as one of the city's tallest and most recognizable landmarks.
  • A. Blaserturm
    Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
  • B. Schmalzturm
    Schmalzturm is a historic medieval tower and notable architectural landmark in the Bavarian town of Weißenburg in Bayern, Germany.
  • C. Schmalzturm
    Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
  • D. Wachtturm
    Wachtturm is one of the historic defensive towers incorporated into Lucerne’s medieval Musegg Wall fortifications in Switzerland.
  • E. Zytturm
    Zytturm is a historic clock tower in Lucerne, Switzerland, known for its prominent clock face and role as part of the city’s medieval fortifications.
  • F. None of above. chosen

Provenance (5 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98865f700819093c8cadc6fcef75f completed April 10, 2026, 11:31 p.m.
NEDg Description generation batch_69d98ae8403c81908a229aa06bd0388a completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98ce9ba0c8190a7c62fa670e23705 completed April 10, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:09 p.m.