Triple

T5027006
Position Surface form Disambiguated ID Type / Status
Subject Konstanz (district) E113199 entity
Predicate hasMunicipality P847 FINISHED
Object Gottmadingen
Gottmadingen is a municipality in the state of Baden-Württemberg in southern Germany, near the Swiss border.
E487688 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: Gottmadingen | Statement: [Konstanz (district), hasMunicipality, Gottmadingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gottmadingen
Context triple: [Konstanz (district), hasMunicipality, Gottmadingen]
  • 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. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • C. Goppenstein
    Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
  • D. Grödinge
    Grödinge is a rural locality in eastern Sweden known for its countryside landscapes and proximity to the Stockholm metropolitan area.
  • E. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • 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: Gottmadingen
Triple: [Konstanz (district), hasMunicipality, Gottmadingen]
Generated description
Gottmadingen is a municipality in the state of Baden-Württemberg in southern Germany, near the Swiss border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gottmadingen
Target entity description: Gottmadingen is a municipality in the state of Baden-Württemberg in southern Germany, near the Swiss border.
  • 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. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • C. Goppenstein
    Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
  • D. Grödinge
    Grödinge is a rural locality in eastern Sweden known for its countryside landscapes and proximity to the Stockholm metropolitan area.
  • E. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738c3aac81908fb6a5c70c97a394 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c64db5c81909224c82ae9d9e0ab completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9ce7959081908b9ddb4c677c477c completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9d7e00f88190b2d12e872fadc181 completed March 21, 2026, 1:30 p.m.
Created at: March 20, 2026, 1:36 p.m.