Triple

T17583661
Position Surface form Disambiguated ID Type / Status
Subject Altensteig E428264 entity
Predicate hasSubdivision P747 FINISHED
Object Lengenloch
Lengenloch is a small locality that forms one of the districts or subdivisions of the town of Altensteig in the state of Baden-Württemberg, Germany.
E1279714 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: Lengenloch | Statement: [Altensteig, hasSubdivision, Lengenloch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengenloch
Context triple: [Altensteig, hasSubdivision, Lengenloch]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Embrach
    Embrach is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
  • C. Kiental
    Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
  • D. Kirchweidach
    Kirchweidach is a small Bavarian municipality in southeastern Germany, known for its rural character and location within the district of Altötting.
  • E. Elbigenalp
    Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
  • 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: Lengenloch
Triple: [Altensteig, hasSubdivision, Lengenloch]
Generated description
Lengenloch is a small locality that forms one of the districts or subdivisions of the town of Altensteig in the state of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lengenloch
Target entity description: Lengenloch is a small locality that forms one of the districts or subdivisions of the town of Altensteig in the state of Baden-Württemberg, Germany.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Embrach
    Embrach is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
  • C. Kiental
    Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
  • D. Kirchweidach
    Kirchweidach is a small Bavarian municipality in southeastern Germany, known for its rural character and location within the district of Altötting.
  • E. Elbigenalp
    Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d015fc8190b2dd897026d6fcb5 completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a8b5ae88190809215e758dfe60f completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020da4e10481908a8a6420905034d7 completed May 11, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a020e2ec11c81909b34d361e6162541 completed May 11, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:50 a.m.