Triple

T5490136
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück district E123679 entity
Predicate contains P35 FINISHED
Object Merzen
Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
 E523950 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: Merzen | Statement: [Osnabrück district, contains, Merzen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merzen
Context triple: [Osnabrück district, contains, Merzen]
  • A. Mülbracht
    Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
  • B. Menzeys
    Menzeys is an alternative spelling of the surname Menzies, which is of Scottish origin.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • 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: Merzen
Triple: [Osnabrück district, contains, Merzen]
Generated description
Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merzen
Target entity description: Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • A. Mülbracht
    Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
  • B. Menzeys
    Menzeys is an alternative spelling of the surname Menzies, which is of Scottish origin.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927dcb848190a9d31e2435f8a755 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c884c0c8190b2f8345a5017c71f completed March 22, 2026, 4:14 a.m.
NEDg Description generation batch_69bf6d267e808190b4085e07d31af1b7 completed March 22, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_69bf6e497dd88190895fe68a7c8f6d65 completed March 22, 2026, 4:21 a.m.
Created at: March 20, 2026, 2:10 p.m.