Triple

T4342566
Position Surface form Disambiguated ID Type / Status
Subject Weißenburg in Bayern E97816 entity
Predicate hasLandmark P105 FINISHED
Object Ellinger Tor
Ellinger Tor is a historic city gate and one of the best-known architectural landmarks of the medieval town of Weißenburg in Bayern, Germany.
 E433932 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: Ellinger Tor | Statement: [Weißenburg in Bayern, hasLandmark, Ellinger Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ellinger Tor
Context triple: [Weißenburg in Bayern, hasLandmark, Ellinger Tor]
  • A. Reideburg
    Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
  • B. Valkhof
    Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
  • C. Kuglhorn
    Kuglhorn is a prominent mountain peak located near Tysfjord in Nordland county, northern Norway, known for its striking alpine scenery.
  • D. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • E. Grimburgwal
    Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
  • 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: Ellinger Tor
Triple: [Weißenburg in Bayern, hasLandmark, Ellinger Tor]
Generated description
Ellinger Tor is a historic city gate and one of the best-known architectural landmarks of the medieval town of Weißenburg in Bayern, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ellinger Tor
Target entity description: Ellinger Tor is a historic city gate and one of the best-known architectural landmarks of the medieval town of Weißenburg in Bayern, Germany.
  • A. Reideburg
    Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
  • B. Valkhof
    Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
  • C. Kuglhorn
    Kuglhorn is a prominent mountain peak located near Tysfjord in Nordland county, northern Norway, known for its striking alpine scenery.
  • D. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • E. Grimburgwal
    Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351878c148190b384053479d41caf completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba2b49c81909b7bf87672d71611 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5df98cf5481909dac60a952fab0a9 completed March 14, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69b5e01c65648190a34a86dd5a2c8fc8 completed March 14, 2026, 10:24 p.m.
Created at: March 12, 2026, 11:14 p.m.