Triple

T19335299
Position Surface form Disambiguated ID Type / Status
Subject Vogelsbergkreis E483606 entity
Predicate capital P234 FINISHED
Object Lauterbach
Lauterbach is a small town in the German state of Hesse known for its historic old town and traditional half-timbered architecture.
E1370628 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: Lauterbach | Statement: [Vogelsbergkreis, capital, Lauterbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauterbach
Context triple: [Vogelsbergkreis, capital, Lauterbach]
  • A. Schwartau
    Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
  • B. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • C. Sibbach
    Sibbach was the individual litigant who challenged the scope of federal procedural rules in the landmark U.S. Supreme Court case Sibbach v. Wilson & Co.
  • D. Lippinghausen
    Lippinghausen is a locality within the municipality of Hiddenhausen in the German state of North Rhine-Westphalia.
  • E. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • 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: Lauterbach
Triple: [Vogelsbergkreis, capital, Lauterbach]
Generated description
Lauterbach is a small town in the German state of Hesse known for its historic old town and traditional half-timbered architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauterbach
Target entity description: Lauterbach is a small town in the German state of Hesse known for its historic old town and traditional half-timbered architecture.
  • A. Schwartau
    Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
  • B. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • C. Sibbach
    Sibbach was the individual litigant who challenged the scope of federal procedural rules in the landmark U.S. Supreme Court case Sibbach v. Wilson & Co.
  • D. Lippinghausen
    Lippinghausen is a locality within the municipality of Hiddenhausen in the German state of North Rhine-Westphalia.
  • E. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be4ca388190986a61eb535df4bd completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:33 p.m.