Triple

T17023467
Position Surface form Disambiguated ID Type / Status
Subject Siegen-Wittgenstein E413003 entity
Predicate contains P35 FINISHED
Object Burbach
Burbach is a municipality in the district of Siegen-Wittgenstein in the German state of North Rhine-Westphalia.
E1274225 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: Burbach | Statement: [Siegen-Wittgenstein, contains, Burbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burbach
Context triple: [Siegen-Wittgenstein, contains, Burbach]
  • A. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • B. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • C. Goetzenbruck
    Goetzenbruck is a small commune in northeastern France’s Moselle department, historically known for its glassmaking industry and location within the Pays de Bitche region.
  • D. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • E. Eberbach
    Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
  • 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: Burbach
Triple: [Siegen-Wittgenstein, contains, Burbach]
Generated description
Burbach is a municipality in the district of Siegen-Wittgenstein in the German state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Burbach
Target entity description: Burbach is a municipality in the district of Siegen-Wittgenstein in the German state of North Rhine-Westphalia.
  • A. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • B. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • C. Goetzenbruck
    Goetzenbruck is a small commune in northeastern France’s Moselle department, historically known for its glassmaking industry and location within the Pays de Bitche region.
  • D. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • E. Eberbach
    Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d2abbc81908943becf5f539fc6 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01c927c7c4819091046c686600db9f completed May 11, 2026, 12:18 p.m.
NEDg Description generation batch_6a01cd5d88948190b347948b1f0584c0 completed May 11, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_6a01cdca32e08190aeae5315494f9ab3 completed May 11, 2026, 12:38 p.m.
Created at: April 10, 2026, 5:33 a.m.