Triple

T12083008
Position Surface form Disambiguated ID Type / Status
Subject Armançon E287728 entity
Predicate hasLeftTributary P415 FINISHED
Object Armançonnette
Armançonnette is a small river in France that serves as a tributary of the Armançon.
E287728 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: Armançonnette | Statement: [Armançon, hasLeftTributary, Armançonnette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armançonnette
Context triple: [Armançon, hasLeftTributary, Armançonnette]
  • A. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • B. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • C. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • D. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • E. Chamrousse
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • 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: Armançonnette
Triple: [Armançon, hasLeftTributary, Armançonnette]
Generated description
Armançonnette is a small river in France that serves as a tributary of the Armançon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armançonnette
Target entity description: Armançonnette is a small river in France that serves as a tributary of the Armançon.
  • A. Armançon chosen
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • B. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • C. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • D. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • E. Chamrousse
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • F. None of above.

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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:48 p.m.