Triple

T3189154
Position Surface form Disambiguated ID Type / Status
Subject Semois River E66774 entity
Predicate languageVariantName P20733 FINISHED
Object Semoy (French name)
Semoy is the French name for the Semois River, a waterway flowing through southern Belgium and into France.
 E336538 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: Semoy (French name) | Statement: [Semois River, languageVariantName, Semoy (French name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Semoy (French name)
Context triple: [Semois River, languageVariantName, Semoy (French name)]
  • A. Noémie
    Noémie is a French given name, equivalent to Naomi, commonly used for girls in Francophone countries.
  • B. Boul’Mich’
    Boul’Mich’ is the popular nickname for Boulevard Saint‑Michel, a major Parisian thoroughfare known for its lively student atmosphere and proximity to the Latin Quarter.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • E. FRENCH SUN
    FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
  • 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: Semoy (French name)
Triple: [Semois River, languageVariantName, Semoy (French name)]
Generated description
Semoy is the French name for the Semois River, a waterway flowing through southern Belgium and into France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Semoy (French name)
Target entity description: Semoy is the French name for the Semois River, a waterway flowing through southern Belgium and into France.
  • A. Noémie
    Noémie is a French given name, equivalent to Naomi, commonly used for girls in Francophone countries.
  • B. Boul’Mich’
    Boul’Mich’ is the popular nickname for Boulevard Saint‑Michel, a major Parisian thoroughfare known for its lively student atmosphere and proximity to the Latin Quarter.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • E. FRENCH SUN
    FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e491508190bc881feaee3889bc completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d677ca8819094cb03360ac885da completed March 12, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69b25178f3c08190be78bdbd0cdfc5f3 completed March 12, 2026, 5:39 a.m.
Created at: March 8, 2026, 3:06 p.m.