Triple

T10103158
Position Surface form Disambiguated ID Type / Status
Subject Hadamar E216251 entity
Predicate hasSubdivision P747 FINISHED
Object Steinbach
Steinbach is a district or locality that forms part of the town of Hadamar in the German state of Hesse.
E840608 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: Steinbach | Statement: [Hadamar, hasSubdivision, Steinbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinbach
Context triple: [Hadamar, hasSubdivision, Steinbach]
  • A. Steinbach
    Steinbach is a small river or stream in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg (Starnberger See).
  • B. Bergneustadt
    Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
  • C. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • D. Barntrup
    Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
  • E. Braunsberg
    Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
  • 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: Steinbach
Triple: [Hadamar, hasSubdivision, Steinbach]
Generated description
Steinbach is a district or locality that forms part of the town of Hadamar in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steinbach
Target entity description: Steinbach is a district or locality that forms part of the town of Hadamar in the German state of Hesse.
  • A. Steinbach
    Steinbach is a small river or stream in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg (Starnberger See).
  • B. Bergneustadt
    Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
  • C. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • D. Barntrup
    Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
  • E. Braunsberg
    Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
NEDg Description generation batch_69d2b7e64fcc8190805a6a31c8a3786f completed April 5, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d2b883959481909f330a26863621ae completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:03 p.m.