Triple

T15864477
Position Surface form Disambiguated ID Type / Status
Subject Zwickau district E384673 entity
Predicate contains P35 FINISHED
Object Mülsen
Mülsen is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
 E1182046 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: Mülsen | Statement: [Zwickau district, contains, Mülsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mülsen
Context triple: [Zwickau district, contains, Mülsen]
  • A. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • B. Mullissu
    Mullissu is a Mesopotamian goddess, often regarded as the consort of the chief god Ashur and identified with the Sumerian goddess Ninlil.
  • C. Mure
    Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
  • D. Bozüyük
    Bozüyük is a town and district in northwestern Turkey known as one of the major industrial and population centers of Bilecik Province.
  • E. Murmelbach
    Murmelbach is a small stream in North Rhine-Westphalia, Germany, that flows into the river Wupper.
  • 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: Mülsen
Triple: [Zwickau district, contains, Mülsen]
Generated description
Mülsen is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mülsen
Target entity description: Mülsen is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
  • A. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • B. Mullissu
    Mullissu is a Mesopotamian goddess, often regarded as the consort of the chief god Ashur and identified with the Sumerian goddess Ninlil.
  • C. Mure
    Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
  • D. Bozüyük
    Bozüyük is a town and district in northwestern Turkey known as one of the major industrial and population centers of Bilecik Province.
  • E. Murmelbach
    Murmelbach is a small stream in North Rhine-Westphalia, Germany, that flows into the river Wupper.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555e4ee48190a3b27b4ab9bdb1c8 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa945d9808190a65f5182db341393 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa8b03048190a3745df8a59fe066 completed May 9, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69ffab58e7e481908a13b739e0401b8b completed May 9, 2026, 9:47 p.m.
Created at: April 10, 2026, 4:50 a.m.