Triple

T18438017
Position Surface form Disambiguated ID Type / Status
Subject Ciron River E450444 entity
Predicate flowsNear P350 FINISHED
Object Bommes
Bommes is a small commune in southwestern France, known for its vineyards and proximity to the Ciron River in the Bordeaux wine region.
 E1323637 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: Bommes | Statement: [Ciron River, flowsNear, Bommes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bommes
Context triple: [Ciron River, flowsNear, Bommes]
  • A. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Boroillots
    Boroillots are the inhabitants of the French commune of Valentigney in the Bourgogne-Franche-Comté region.
  • D. Boussu
    Boussu is a municipality in the province of Hainaut in Wallonia, Belgium.
  • E. Boechout
    Boechout is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • 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: Bommes
Triple: [Ciron River, flowsNear, Bommes]
Generated description
Bommes is a small commune in southwestern France, known for its vineyards and proximity to the Ciron River in the Bordeaux wine region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bommes
Target entity description: Bommes is a small commune in southwestern France, known for its vineyards and proximity to the Ciron River in the Bordeaux wine region.
  • A. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Boroillots
    Boroillots are the inhabitants of the French commune of Valentigney in the Bourgogne-Franche-Comté region.
  • D. Boussu
    Boussu is a municipality in the province of Hainaut in Wallonia, Belgium.
  • E. Boechout
    Boechout is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0b392988190ba3099ee8d1eb822 completed May 13, 2026, 3:32 a.m.
NEDg Description generation batch_6a03f2c5e57081909e5b81a5b0e3833d completed May 13, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a03f3a57cb881909c0ba0b559f9c06b completed May 13, 2026, 3:44 a.m.
Created at: April 10, 2026, 11:29 a.m.