Triple

T9208404
Position Surface form Disambiguated ID Type / Status
Subject District of Weilheim-Schongau E221046 entity
Predicate containsMunicipality P852 FINISHED
Object Eberfing
Eberfing is a small municipality in the Bavarian district of Weilheim-Schongau in southern Germany.
E786644 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: Eberfing | Statement: [District of Weilheim-Schongau, containsMunicipality, Eberfing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eberfing
Context triple: [District of Weilheim-Schongau, containsMunicipality, Eberfing]
  • A. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • B. Fuhlenbrock
    Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
  • C. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • D. Kleeberg
    Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
  • E. Vohwinkel
    Vohwinkel is a district in the German city of Wuppertal, historically an independent town before being incorporated during municipal reforms.
  • 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: Eberfing
Triple: [District of Weilheim-Schongau, containsMunicipality, Eberfing]
Generated description
Eberfing is a small municipality in the Bavarian district of Weilheim-Schongau in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eberfing
Target entity description: Eberfing is a small municipality in the Bavarian district of Weilheim-Schongau in southern Germany.
  • A. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • B. Fuhlenbrock
    Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
  • C. Widdersberg
    Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
  • D. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • E. Kleeberg
    Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b217008190a0ab4971dd4a8899 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077875eac8190a020dfa38998385e completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d07ba6ca3881909aa43516a3ac0272 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c04ab98819092a2d515c7b1baaa completed April 4, 2026, 2:48 a.m.
Created at: March 30, 2026, 7:26 p.m.