Triple

T16471188
Position Surface form Disambiguated ID Type / Status
Subject Calw E400063 entity
Predicate hasLandmark P105 FINISHED
Object Nikolausbrücke
Nikolausbrücke is a historic bridge in the town of Calw, Germany, known as one of its most prominent architectural landmarks.
 E1223043 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: Nikolausbrücke | Statement: [Calw, hasLandmark, Nikolausbrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikolausbrücke
Context triple: [Calw, hasLandmark, Nikolausbrücke]
  • A. Boschbrücke
    Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
  • B. Schlossbrücke
    Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
  • C. Kornhausbrücke
    Kornhausbrücke is a bridge in Zurich, Switzerland, that carries traffic across the Limmat River near the city’s historic center.
  • D. Kornhausbrücke
    Kornhausbrücke is a historic bridge in Bern, Switzerland, spanning the Aare River and connecting the Old City with newer districts.
  • E. Luitpoldbrücke
    Luitpoldbrücke is a historic bridge in Munich that spans the Isar River and connects key parts of the city along Prinzregentenstraße.
  • 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: Nikolausbrücke
Triple: [Calw, hasLandmark, Nikolausbrücke]
Generated description
Nikolausbrücke is a historic bridge in the town of Calw, Germany, known as one of its most prominent architectural landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikolausbrücke
Target entity description: Nikolausbrücke is a historic bridge in the town of Calw, Germany, known as one of its most prominent architectural landmarks.
  • A. Boschbrücke
    Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
  • B. Schlossbrücke
    Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
  • C. Kornhausbrücke
    Kornhausbrücke is a bridge in Zurich, Switzerland, that carries traffic across the Limmat River near the city’s historic center.
  • D. Kornhausbrücke
    Kornhausbrücke is a historic bridge in Bern, Switzerland, spanning the Aare River and connecting the Old City with newer districts.
  • E. Luitpoldbrücke
    Luitpoldbrücke is a historic bridge in Munich that spans the Isar River and connects key parts of the city along Prinzregentenstraße.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd0d2fc81909b68b5afb00f192f completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007589fd888190862206c5a7cac345 completed May 10, 2026, 12:09 p.m.
NEDg Description generation batch_6a00760a42e08190a008c6505e2b68fb completed May 10, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0079f666c48190a88f74002caf10f8 completed May 10, 2026, 12:28 p.m.
Created at: April 10, 2026, 5:11 a.m.