Triple

T13875530
Position Surface form Disambiguated ID Type / Status
Subject River Parthe E333571 entity
Predicate flowsThrough P225 FINISHED
Object Borsdorf
Borsdorf is a small municipality in the Leipzig district of Saxony, Germany, situated just east of Leipzig in a largely rural and suburban landscape.
E1105602 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: Borsdorf | Statement: [River Parthe, flowsThrough, Borsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borsdorf
Context triple: [River Parthe, flowsThrough, Borsdorf]
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Bundorf
    Bundorf is a small municipality in northern Bavaria, Germany, situated in the rural Haßberge region of the Franconia area.
  • C. Buchdorf
    Buchdorf is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • D. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • E. Bromskirchen
    Bromskirchen is a small municipality in the Waldeck-Frankenberg district of Hesse, Germany, near the border with North Rhine-Westphalia.
  • 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: Borsdorf
Triple: [River Parthe, flowsThrough, Borsdorf]
Generated description
Borsdorf is a small municipality in the Leipzig district of Saxony, Germany, situated just east of Leipzig in a largely rural and suburban landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Borsdorf
Target entity description: Borsdorf is a small municipality in the Leipzig district of Saxony, Germany, situated just east of Leipzig in a largely rural and suburban landscape.
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Bundorf
    Bundorf is a small municipality in northern Bavaria, Germany, situated in the rural Haßberge region of the Franconia area.
  • C. Buchdorf
    Buchdorf is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • D. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • E. Bromskirchen
    Bromskirchen is a small municipality in the Waldeck-Frankenberg district of Hesse, Germany, near the border with North Rhine-Westphalia.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9eeff48190b8aa9a601574395a completed May 8, 2026, 7:02 a.m.
NEDg Description generation batch_69fd8b47257c8190980123227364b26d completed May 8, 2026, 7:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd8bb6fb248190b6dc632e7dc56c3f completed May 8, 2026, 7:07 a.m.
Created at: April 9, 2026, 10:15 p.m.