Triple

T6489433
Position Surface form Disambiguated ID Type / Status
Subject Neuss E147996 entity
Predicate hasLandmark P105 FINISHED
Object Blutturm
Blutturm is a historic medieval tower and former fortification structure located in the German city of Neuss.
E596697 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: Blutturm | Statement: [Neuss, hasLandmark, Blutturm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blutturm
Context triple: [Neuss, hasLandmark, Blutturm]
  • A. Bad Harzburg
    Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
  • B. Skull Tower
    Skull Tower is a macabre Ottoman-era monument in Niš, Serbia, built from the skulls of Serbian rebels and now serving as a powerful symbol of resistance and remembrance.
  • C. Roter Turm
    Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
  • D. Roter Turm
    Roter Turm is a historic clock and bell tower in Halle (Saale), Germany, and one of the city’s most recognizable architectural landmarks.
  • E. Hellenstein Castle
    Hellenstein Castle is a historic hilltop fortress overlooking Heidenheim an der Brenz in southern Germany, known for its medieval architecture and panoramic views.
  • 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: Blutturm
Triple: [Neuss, hasLandmark, Blutturm]
Generated description
Blutturm is a historic medieval tower and former fortification structure located in the German city of Neuss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blutturm
Target entity description: Blutturm is a historic medieval tower and former fortification structure located in the German city of Neuss.
  • A. Bad Harzburg
    Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
  • B. Skull Tower
    Skull Tower is a macabre Ottoman-era monument in Niš, Serbia, built from the skulls of Serbian rebels and now serving as a powerful symbol of resistance and remembrance.
  • C. Roter Turm
    Roter Turm is a historic clock and bell tower in Halle (Saale), Germany, and one of the city’s most recognizable architectural landmarks.
  • D. Roter Turm
    Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
  • E. Hellenstein Castle
    Hellenstein Castle is a historic hilltop fortress overlooking Heidenheim an der Brenz in southern Germany, known for its medieval architecture and panoramic views.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9926fc81909db0f390e385e97d completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653ba03288190ba4e4ce99d0ba32e completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c655afe8b88190a4d9ba83126e71af completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c65613a30c81908c737122e1005290 completed March 27, 2026, 10:04 a.m.
Created at: March 22, 2026, 4:52 p.m.