Triple

T16799931
Position Surface form Disambiguated ID Type / Status
Subject Saxon Ore Mountain mining region E408328 entity
Predicate hasImportantTown P14082 FINISHED
Object Lengefeld
Lengefeld is a historic mining town in Saxony, Germany, known for its role in the Ore Mountains’ centuries-old mining industry.
E1233884 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: Lengefeld | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Lengefeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengefeld
Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Lengefeld]
  • A. Längenfeld
    Längenfeld is a Tyrolean municipality in western Austria known for its alpine scenery and thermal spa resort Aqua Dome in the Ötztal valley.
  • B. Langeneß
    Langeneß is a small Hallig island in the Wadden Sea off the coast of Schleswig-Holstein, Germany, known for its low-lying landscape, traditional Frisian culture, and vulnerability to tidal flooding.
  • C. Langerfeld
    Langerfeld is a district of the German city of Wuppertal, located in the state of North Rhine-Westphalia.
  • D. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • E. 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.
  • 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: Lengefeld
Triple: [Saxon Ore Mountain mining region, hasImportantTown, Lengefeld]
Generated description
Lengefeld is a historic mining town in Saxony, Germany, known for its role in the Ore Mountains’ centuries-old mining industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lengefeld
Target entity description: Lengefeld is a historic mining town in Saxony, Germany, known for its role in the Ore Mountains’ centuries-old mining industry.
  • A. Längenfeld
    Längenfeld is a Tyrolean municipality in western Austria known for its alpine scenery and thermal spa resort Aqua Dome in the Ötztal valley.
  • B. Langeneß
    Langeneß is a small Hallig island in the Wadden Sea off the coast of Schleswig-Holstein, Germany, known for its low-lying landscape, traditional Frisian culture, and vulnerability to tidal flooding.
  • C. Langerfeld
    Langerfeld is a district of the German city of Wuppertal, located in the state of North Rhine-Westphalia.
  • D. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • E. 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.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2acd3548190a5f6ce7d1cf74117 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00ac2ab65c819091d22cf52f16ef94 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00ac9a854881909624d52db76fbb57 completed May 10, 2026, 4:04 p.m.
Created at: April 10, 2026, 5:22 a.m.