Triple

T8066171
Position Surface form Disambiguated ID Type / Status
Subject Trebsen E188247 entity
Predicate hasSubdivision P747 FINISHED
Object Neichen
Neichen is a locality or district that forms part of the town of Trebsen in Germany.
 E709499 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: Neichen | Statement: [Trebsen, hasSubdivision, Neichen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neichen
Context triple: [Trebsen, hasSubdivision, Neichen]
  • A. Beihan
    Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • D. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • E. Chardzhou
    Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
  • 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: Neichen
Triple: [Trebsen, hasSubdivision, Neichen]
Generated description
Neichen is a locality or district that forms part of the town of Trebsen in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neichen
Target entity description: Neichen is a locality or district that forms part of the town of Trebsen in Germany.
  • A. Beihan
    Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • D. Nokhchi
    Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
  • E. Chardzhou
    Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e1ed44819083ed9db6c9d7b0fd completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651c5f788190908c6d84c58cba0f completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc6649d2348190996802140b455348 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:26 p.m.