Triple

T9540610
Position Surface form Disambiguated ID Type / Status
Subject Straubing-Bogen E230145 entity
Predicate contains P35 FINISHED
Object Haibach
Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
E818335 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: Haibach | Statement: [Straubing-Bogen, contains, Haibach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haibach
Context triple: [Straubing-Bogen, contains, Haibach]
  • A. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • B. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • C. Holthausen
    Holthausen is a district of the German town of Hattingen in North Rhine-Westphalia.
  • D. Hagen
    Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
  • E. Hagen
    Hagen is a surname of German origin borne by various notable individuals across fields such as music, sports, and academia.
  • 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: Haibach
Triple: [Straubing-Bogen, contains, Haibach]
Generated description
Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haibach
Target entity description: Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • A. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • B. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • C. Holthausen
    Holthausen is a district of the German town of Hattingen in North Rhine-Westphalia.
  • D. Hagen
    Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
  • E. Hagen
    Hagen is a surname of German origin borne by various notable individuals across fields such as music, sports, and academia.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af4770f88190b9952c4308c0c384 completed April 5, 2026, 12:39 a.m.
NEDg Description generation batch_69d1b06d39b48190adaadbc81b4ffb9a completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1511c7c8190ba7bc691ab2d3a13 completed April 5, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:01 p.m.