Triple

T13691395
Position Surface form Disambiguated ID Type / Status
Subject Unterallgäu E328272 entity
Predicate containsMunicipality P852 FINISHED
Object Woringen
Woringen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
E1054249 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: Woringen | Statement: [Unterallgäu, containsMunicipality, Woringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woringen
Context triple: [Unterallgäu, containsMunicipality, Woringen]
  • A. Worringen
    Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
  • B. Wehringen
    Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
  • C. Weiningen
    Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
  • D. Wettingen
    Wettingen is a Swiss town in the canton of Aargau, located in the Limmat Valley near the city of Baden.
  • E. Walzenhausen
    Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
  • 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: Woringen
Triple: [Unterallgäu, containsMunicipality, Woringen]
Generated description
Woringen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Woringen
Target entity description: Woringen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
  • A. Worringen
    Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
  • B. Wehringen
    Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
  • C. Weiningen
    Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
  • D. Wettingen
    Wettingen is a Swiss town in the canton of Aargau, located in the Limmat Valley near the city of Baden.
  • E. Walzenhausen
    Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944b93d88190806d6b5735f7e794 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f795b1c4948190b3c17acb26cd5b6e completed May 3, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69f7965ead2881909a0c33bcc7938543 completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:53 p.m.