Triple

T13411033
Position Surface form Disambiguated ID Type / Status
Subject Tiergärtnertorplatz E320085 entity
Predicate near P350 FINISHED
Object Tiergärtnertor
Tiergärtnertor is a historic city gate in Nuremberg, Germany, forming part of the medieval fortifications and giving its name to the surrounding square.
E1039969 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: Tiergärtnertor | Statement: [Tiergärtnertorplatz, near, Tiergärtnertor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiergärtnertor
Context triple: [Tiergärtnertorplatz, near, Tiergärtnertor]
  • A. Wüstegarten
    Wüstegarten is a prominent mountain peak in the Kellerwald range of Hesse, Germany, known for its forested slopes and hiking trails.
  • B. Großer Garten
    Großer Garten is a large historic baroque-style park in Hanover, Germany, known for its formal gardens, avenues, and cultural attractions.
  • C. Neuer Garten
    Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
  • D. Kaiserwiese
    Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
  • E. Lustgarten
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • 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: Tiergärtnertor
Triple: [Tiergärtnertorplatz, near, Tiergärtnertor]
Generated description
Tiergärtnertor is a historic city gate in Nuremberg, Germany, forming part of the medieval fortifications and giving its name to the surrounding square.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiergärtnertor
Target entity description: Tiergärtnertor is a historic city gate in Nuremberg, Germany, forming part of the medieval fortifications and giving its name to the surrounding square.
  • A. Wüstegarten
    Wüstegarten is a prominent mountain peak in the Kellerwald range of Hesse, Germany, known for its forested slopes and hiking trails.
  • B. Großer Garten
    Großer Garten is a large historic baroque-style park in Hanover, Germany, known for its formal gardens, avenues, and cultural attractions.
  • C. Neuer Garten
    Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
  • D. Kaiserwiese
    Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
  • E. Lustgarten
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7313c6bcc8190a848cf8945a0ae2a completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f736f2f6a081908d532dba6f34ed97 completed May 3, 2026, 11:52 a.m.
Created at: April 9, 2026, 9:35 p.m.