Triple

T17927090
Position Surface form Disambiguated ID Type / Status
Subject Amberg-Sulzbach E448225 entity
Predicate contains P35 FINISHED
Object Hahnbach
Hahnbach is a municipality in the Amberg-Sulzbach district of Bavaria, Germany, known for its rural character and historic Bavarian village charm.
E1299738 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: Hahnbach | Statement: [Amberg-Sulzbach, contains, Hahnbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hahnbach
Context triple: [Amberg-Sulzbach, contains, Hahnbach]
  • A. Hammersbach
    Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
  • B. Heimbach
    Heimbach is a small town in North Rhine-Westphalia, Germany, known for its scenic location in the Eifel region and its historic castle and pilgrimage sites.
  • C. Haibach
    Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • D. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • E. Faulbach
    Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
  • 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: Hahnbach
Triple: [Amberg-Sulzbach, contains, Hahnbach]
Generated description
Hahnbach is a municipality in the Amberg-Sulzbach district of Bavaria, Germany, known for its rural character and historic Bavarian village charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hahnbach
Target entity description: Hahnbach is a municipality in the Amberg-Sulzbach district of Bavaria, Germany, known for its rural character and historic Bavarian village charm.
  • A. Hammersbach
    Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
  • B. Heimbach
    Heimbach is a small town in North Rhine-Westphalia, Germany, known for its scenic location in the Eifel region and its historic castle and pilgrimage sites.
  • C. Haibach
    Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • D. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • E. Faulbach
    Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54f29a88190b035d8473765bde5 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03379ddb5881909a3aa5ced03647b7 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a0338cd02808190b650f59fc16bab0d completed May 12, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_6a033cb498248190a3805cd356832cd0 completed May 12, 2026, 2:44 p.m.
Created at: April 10, 2026, 10:20 a.m.