Triple

T20366493
Position Surface form Disambiguated ID Type / Status
Subject Schwarzwald-Baar-Kreis E496922 entity
Predicate locatedInRegion P40 FINISHED
Object Baar
Baar is a historical region in southwestern Germany, situated between the Black Forest and the Swabian Jura.
 E1426390 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: Baar | Statement: [Schwarzwald-Baar-Kreis, locatedInRegion, Baar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baar
Context triple: [Schwarzwald-Baar-Kreis, locatedInRegion, Baar]
  • A. Baar
    Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Barrin
    Barrin is a French surname historically associated with notable figures such as Roland-Michel Barrin de La Galissonière, an 18th-century naval officer and colonial administrator.
  • D. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • E. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • 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: Baar
Triple: [Schwarzwald-Baar-Kreis, locatedInRegion, Baar]
Generated description
Baar is a historical region in southwestern Germany, situated between the Black Forest and the Swabian Jura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baar
Target entity description: Baar is a historical region in southwestern Germany, situated between the Black Forest and the Swabian Jura.
  • A. Baar
    Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Barrin
    Barrin is a French surname historically associated with notable figures such as Roland-Michel Barrin de La Galissonière, an 18th-century naval officer and colonial administrator.
  • D. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • E. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087089e0408190be8394376cdec110 completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:26 a.m.