Triple

T425867
Position Surface form Disambiguated ID Type / Status
Subject Ardennes Forest E9605 entity
Predicate drainedBy P165 FINISHED
Object Semois River
The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
E66774 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: Semois River | Statement: [Ardennes Forest, drainedBy, Semois River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semois River
Context triple: [Ardennes Forest, drainedBy, Semois River]
  • A. Saône River
    The Saône River is a major waterway in eastern France that flows through cities like Lyon and Dijon before joining the Rhône River.
  • B. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • C. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • D. Ouvèze River
    The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
  • E. Marne
    The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
  • 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: Semois River
Triple: [Ardennes Forest, drainedBy, Semois River]
Generated description
The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Semois River
Target entity description: The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
  • A. Saône River
    The Saône River is a major waterway in eastern France that flows through cities like Lyon and Dijon before joining the Rhône River.
  • B. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • C. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • D. Ouvèze River
    The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
  • E. Marne
    The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b8a6c0788190b38c563b5555ff90 completed March 1, 2026, 10:07 p.m.
NEDg Description generation batch_69a4bce57128819095d61b27ffeaee6c completed March 1, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_69a4bd73a6208190b7b1ce918c26eefd completed March 1, 2026, 10:28 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.