Triple

T14493960
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Avallon E359440 entity
Predicate contains P35 FINISHED
Object Sermizelles
Sermizelles is a small commune in the Yonne department of the Bourgogne-Franche-Comté region in central-eastern France.
E1102134 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: Sermizelles | Statement: [arrondissement of Avallon, contains, Sermizelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sermizelles
Context triple: [arrondissement of Avallon, contains, Sermizelles]
  • A. Biberwier
    Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
  • B. Herse
    Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • C. Morello
    Morello is a surname of Italian origin borne by various notable individuals across fields such as music, politics, and the arts.
  • D. Lemonum
    Lemonum was an important ancient Roman town in Gaul, located at the site of modern-day Poitiers in western France.
  • E. Sambreville
    Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
  • 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: Sermizelles
Triple: [arrondissement of Avallon, contains, Sermizelles]
Generated description
Sermizelles is a small commune in the Yonne department of the Bourgogne-Franche-Comté region in central-eastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sermizelles
Target entity description: Sermizelles is a small commune in the Yonne department of the Bourgogne-Franche-Comté region in central-eastern France.
  • A. Biberwier
    Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
  • B. Herse
    Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • C. Morello
    Morello is a surname of Italian origin borne by various notable individuals across fields such as music, politics, and the arts.
  • D. Lemonum
    Lemonum was an important ancient Roman town in Gaul, located at the site of modern-day Poitiers in western France.
  • E. Sambreville
    Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930f34d08190b4b30e54e2f702ed completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9544cc81908105554f212a9b8c completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6e75155081908cec8cac1101c17e completed May 8, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f38ea788190a957419ca1971b15 completed May 8, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:21 a.m.