Triple

T16830112
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Annecy E409125 entity
Predicate contains P35 FINISHED
Object Sillingy
Sillingy is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
 E1235453 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: Sillingy | Statement: [Arrondissement of Annecy, contains, Sillingy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sillingy
Context triple: [Arrondissement of Annecy, contains, Sillingy]
  • A. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • B. Bavent
    Bavent is a commune in the Calvados department of the Normandy region in northwestern France.
  • C. Lamorbey
    Lamorbey is a suburban residential area in southeast London, known for its parks, historic buildings, and proximity to Sidcup within the London Borough of Bexley.
  • D. Sellye
    Sellye is a small town in southern Hungary, situated near the Croatian border in the historical region of Baranya.
  • E. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • 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: Sillingy
Triple: [Arrondissement of Annecy, contains, Sillingy]
Generated description
Sillingy is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sillingy
Target entity description: Sillingy is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
  • A. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • B. Bavent
    Bavent is a commune in the Calvados department of the Normandy region in northwestern France.
  • C. Lamorbey
    Lamorbey is a suburban residential area in southeast London, known for its parks, historic buildings, and proximity to Sidcup within the London Borough of Bexley.
  • D. Sellye
    Sellye is a small town in southern Hungary, situated near the Croatian border in the historical region of Baranya.
  • E. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b316acc881909c686add53d72388 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a0ac148190a7a7edebcb67c040 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b35ea8f88190ae33e8a2f906d133 completed May 10, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.