Triple

T15250873
Position Surface form Disambiguated ID Type / Status
Subject Bastei E364514 entity
Predicate locatedIn P40 FINISHED
Object Lohmen
Lohmen is a municipality in Saxony, Germany, known as the gateway to the Bastei rock formations in the Elbe Sandstone Mountains.
E1145994 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: Lohmen | Statement: [Bastei, locatedIn, Lohmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lohmen
Context triple: [Bastei, locatedIn, Lohmen]
  • A. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • B. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • D. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • E. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • 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: Lohmen
Triple: [Bastei, locatedIn, Lohmen]
Generated description
Lohmen is a municipality in Saxony, Germany, known as the gateway to the Bastei rock formations in the Elbe Sandstone Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lohmen
Target entity description: Lohmen is a municipality in Saxony, Germany, known as the gateway to the Bastei rock formations in the Elbe Sandstone Mountains.
  • A. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • B. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • D. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • E. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f390bc8190bc0180c118e1523c completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee68055b88190afa0e3b1bc2b13bb completed May 9, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69fee7190a6c81908fa7376f3e3c5371 completed May 9, 2026, 7:49 a.m.
Created at: April 10, 2026, 3:13 a.m.