Triple

T16403806
Position Surface form Disambiguated ID Type / Status
Subject Altstadt (old town) of Nuremberg E398371 entity
Predicate hasPart P35 FINISHED
Object Laufer Tor
Laufer Tor is a historic city gate in Nuremberg’s old town, notable as part of the city’s medieval fortifications.
E1221784 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: Laufer Tor | Statement: [Altstadt (old town) of Nuremberg, hasPart, Laufer Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laufer Tor
Context triple: [Altstadt (old town) of Nuremberg, hasPart, Laufer Tor]
  • A. Kröpeliner Tor
    Kröpeliner Tor is a historic medieval city gate and prominent architectural landmark in the German city of Rostock.
  • B. Rieder Tor
    Rieder Tor is a historic city gate in Donauwörth, Germany, and one of the town’s best-known architectural landmarks.
  • C. Kottbusser Tor
    Kottbusser Tor is a major public square and busy U-Bahn interchange station in Berlin’s Kreuzberg district, known for its multicultural atmosphere and dense urban surroundings.
  • D. Friedländer Tor
    Friedländer Tor is a historic brick Gothic city gate in Neubrandenburg, Germany, renowned as part of the town’s well-preserved medieval fortifications.
  • E. Florian Gate
    Florian Gate is a historic medieval city gate in Kraków, Poland, and one of the best-preserved remnants of the city’s old defensive walls.
  • 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: Laufer Tor
Triple: [Altstadt (old town) of Nuremberg, hasPart, Laufer Tor]
Generated description
Laufer Tor is a historic city gate in Nuremberg’s old town, notable as part of the city’s medieval fortifications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laufer Tor
Target entity description: Laufer Tor is a historic city gate in Nuremberg’s old town, notable as part of the city’s medieval fortifications.
  • A. Kröpeliner Tor
    Kröpeliner Tor is a historic medieval city gate and prominent architectural landmark in the German city of Rostock.
  • B. Rieder Tor
    Rieder Tor is a historic city gate in Donauwörth, Germany, and one of the town’s best-known architectural landmarks.
  • C. Kottbusser Tor
    Kottbusser Tor is a major public square and busy U-Bahn interchange station in Berlin’s Kreuzberg district, known for its multicultural atmosphere and dense urban surroundings.
  • D. Friedländer Tor
    Friedländer Tor is a historic brick Gothic city gate in Neubrandenburg, Germany, renowned as part of the town’s well-preserved medieval fortifications.
  • E. Florian Gate
    Florian Gate is a historic medieval city gate in Kraków, Poland, and one of the best-preserved remnants of the city’s old defensive walls.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d12dc08190a5b497692b667ed7 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecfd99c8190a4375a0f62aa50d1 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006f50b70881908f047c44bd471d00 completed May 10, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0070aee0248190b3463b98a739d1ae completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:09 a.m.