Triple

T543574
Position Surface form Disambiguated ID Type / Status
Subject Danube E12683 entity
Predicate sourceConfluence P2416 FINISHED
Object Breg
Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
 E69261 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: Breg | Statement: [Danube, sourceConfluence, Breg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Breg
Context triple: [Danube, sourceConfluence, Breg]
  • A. Bougros
    Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
  • B. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • C. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • D. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • 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: Breg
Triple: [Danube, sourceConfluence, Breg]
Generated description
Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Breg
Target entity description: Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • A. Bougros
    Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
  • B. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • C. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • D. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d278cf88190ad1368da91a7014f completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f3f4e08190a625ae085868b191 completed March 2, 2026, 1:12 a.m.
NEDg Description generation batch_69a4e47c4f908190969ff83c69d7c3a7 completed March 2, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69a4e525eb18819083018d392ba4b2fa completed March 2, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:32 p.m.