Triple

T22637013
Position Surface form Disambiguated ID Type / Status
Subject canton of Rambouillet E558707 entity
Predicate contains P35 FINISHED
Object Sonchamp
Sonchamp is a rural commune in the Yvelines department of north-central France, known for its agricultural landscape and proximity to the Rambouillet forest.
E1546955 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: Sonchamp | Statement: [canton of Rambouillet, contains, Sonchamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonchamp
Context triple: [canton of Rambouillet, contains, Sonchamp]
  • A. Champcevinel
    Champcevinel is a commune in southwestern France, located in the Dordogne department of the Nouvelle-Aquitaine region.
  • B. Sagnier
    Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
  • C. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Salavaux
    Salavaux is a village and former municipality in the canton of Vaud in western Switzerland, situated near Lake Morat (Murtensee).
  • E. Champoz
    Champoz is a small Swiss municipality and village located in the French-speaking Bernese Jura region.
  • 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: Sonchamp
Triple: [canton of Rambouillet, contains, Sonchamp]
Generated description
Sonchamp is a rural commune in the Yvelines department of north-central France, known for its agricultural landscape and proximity to the Rambouillet forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sonchamp
Target entity description: Sonchamp is a rural commune in the Yvelines department of north-central France, known for its agricultural landscape and proximity to the Rambouillet forest.
  • A. Champcevinel
    Champcevinel is a commune in southwestern France, located in the Dordogne department of the Nouvelle-Aquitaine region.
  • B. Sagnier
    Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
  • C. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Salavaux
    Salavaux is a village and former municipality in the canton of Vaud in western Switzerland, situated near Lake Morat (Murtensee).
  • E. Champoz
    Champoz is a small Swiss municipality and village located in the French-speaking Bernese Jura region.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700edb608190ad786ff7fafea0da completed April 29, 2026, 2:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b585cf2388190b517312dc6172025 completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5d272c8190bf66fa372fb2bb7d completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7072e43c8190ad8f8d09f61d3f7b completed May 18, 2026, 8:02 p.m.
Created at: April 17, 2026, 3:03 p.m.