Triple

T20667828
Position Surface form Disambiguated ID Type / Status
Subject Freising district E507938 entity
Predicate contains P35 FINISHED
Object Langenbach
Langenbach is a municipality in Bavaria, Germany, situated in the Freising district north of Munich.
E1449652 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: Langenbach | Statement: [Freising district, contains, Langenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenbach
Context triple: [Freising district, contains, Langenbach]
  • A. Langenbach
    Langenbach is a locality that forms one of the subdivisions of the town of Vöhrenbach in the Black Forest region of southwestern Germany.
  • B. Lengenfeld
    Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
  • C. Siegbach
    Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
  • D. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • E. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • 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: Langenbach
Triple: [Freising district, contains, Langenbach]
Generated description
Langenbach is a municipality in Bavaria, Germany, situated in the Freising district north of Munich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langenbach
Target entity description: Langenbach is a municipality in Bavaria, Germany, situated in the Freising district north of Munich.
  • A. Langenbach
    Langenbach is a locality that forms one of the subdivisions of the town of Vöhrenbach in the Black Forest region of southwestern Germany.
  • B. Lengenfeld
    Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
  • C. Siegbach
    Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
  • D. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • E. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef7604c08190b28c60e882556963 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f0245c448190aba7a7cf37ffafd7 completed May 16, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_6a08f06ede04819084f5d2eab731f6dd completed May 16, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:44 a.m.