Triple

T2032358
Position Surface form Disambiguated ID Type / Status
Subject Yonne E44545 entity
Predicate hasRightTributary P415 FINISHED
Object Loing
The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
E308828 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: Loing | Statement: [Yonne, hasRightTributary, Loing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loing
Context triple: [Yonne, hasRightTributary, Loing]
  • A. Loir
    The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
  • B. 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.
  • C. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • D. Rive Droite
    Rive Droite is the northern, historically affluent bank of the Seine in Paris, known for its grand boulevards, major museums, and iconic landmarks.
  • E. 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.
  • 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: Loing
Triple: [Yonne, hasRightTributary, Loing]
Generated description
The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loing
Target entity description: The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
  • A. Loir
    The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
  • B. 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.
  • C. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • D. Rive Droite
    Rive Droite is the northern, historically affluent bank of the Seine in Paris, known for its grand boulevards, major museums, and iconic landmarks.
  • E. 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.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdbfe6188190a32ab023660312bd completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0559265388190b070de8b92c6e95b completed March 10, 2026, 5:32 p.m.
NEDg Description generation batch_69b05f7e78e8819095185f170ca26bda completed March 10, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_69b0617a21a881909a0f52268a2494a6 completed March 10, 2026, 6:22 p.m.
Created at: March 4, 2026, 7:38 p.m.