Triple

T5027016
Position Surface form Disambiguated ID Type / Status
Subject Konstanz (district) E113199 entity
Predicate hasMunicipality P847 FINISHED
Object Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
E487693 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: Mühlingen | Statement: [Konstanz (district), hasMunicipality, Mühlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mühlingen
Context triple: [Konstanz (district), hasMunicipality, Mühlingen]
  • A. Münklingen
    Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
  • B. Merklingen
    Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
  • C. Merklingen
    Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
  • D. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • E. Eckersmühlen
    Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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: Mühlingen
Triple: [Konstanz (district), hasMunicipality, Mühlingen]
Generated description
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mühlingen
Target entity description: Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
  • A. Münklingen
    Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
  • B. Merklingen
    Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
  • C. Merklingen
    Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
  • D. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • E. Eckersmühlen
    Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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.