Triple

T4045453
Position Surface form Disambiguated ID Type / Status
Subject Berg en Dal E84054 entity
Predicate contains P35 FINISHED
Object Leuth
Leuth is a village in the Dutch province of Gelderland, situated near the German border and known for its rural landscape and proximity to the river Waal.
 E408451 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: Leuth | Statement: [Berg en Dal, contains, Leuth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leuth
Context triple: [Berg en Dal, contains, Leuth]
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • C. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • D. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • E. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • 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: Leuth
Triple: [Berg en Dal, contains, Leuth]
Generated description
Leuth is a village in the Dutch province of Gelderland, situated near the German border and known for its rural landscape and proximity to the river Waal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leuth
Target entity description: Leuth is a village in the Dutch province of Gelderland, situated near the German border and known for its rural landscape and proximity to the river Waal.
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • C. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • D. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • E. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5f85d48190ba80a0a24fbe438a completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55652228c8190a9f301676deb0055 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.