Triple

T6489432
Position Surface form Disambiguated ID Type / Status
Subject Neuss E147996 entity
Predicate hasLandmark P105 FINISHED
Object Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
 E596696 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: Obertor | Statement: [Neuss, hasLandmark, Obertor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Obertor
Context triple: [Neuss, hasLandmark, Obertor]
  • A. Bayertor
    Bayertor is a well-preserved medieval city gate in Landsberg am Lech, Germany, renowned as one of the town’s most prominent historical landmarks.
  • B. Torez
    Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
  • C. Altobelli
    Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
  • D. Scialfa
    Scialfa is the surname of Patti Scialfa, an American singer-songwriter and guitarist best known as a member of Bruce Springsteen's E Street Band.
  • E. Mazuelo
    Mazuelo is a red wine grape variety, better known internationally as Carignan, used primarily in blends for its high acidity, color, and tannins.
  • 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: Obertor
Triple: [Neuss, hasLandmark, Obertor]
Generated description
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Obertor
Target entity description: Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
  • A. Bayertor
    Bayertor is a well-preserved medieval city gate in Landsberg am Lech, Germany, renowned as one of the town’s most prominent historical landmarks.
  • B. Torez
    Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
  • C. Altobelli
    Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
  • D. Scialfa
    Scialfa is the surname of Patti Scialfa, an American singer-songwriter and guitarist best known as a member of Bruce Springsteen's E Street Band.
  • E. Mazuelo
    Mazuelo is a red wine grape variety, better known internationally as Carignan, used primarily in blends for its high acidity, color, and tannins.
  • 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.