Triple

T6119422
Position Surface form Disambiguated ID Type / Status
Subject Chiers E136444 entity
Predicate hasTributary P415 FINISHED
Object Alzette
The Alzette is a river in Luxembourg and France that flows through Luxembourg City and ultimately joins the Sauer, making it an important waterway in the region.
 E569988 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: Alzette | Statement: [Chiers, hasTributary, Alzette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alzette
Context triple: [Chiers, hasTributary, Alzette]
  • A. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • B. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • C. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • D. Mitau
    Mitau, historically known as the capital of the Duchy of Courland and Semigallia, is the former German name for the city now called Jelgava in present-day Latvia.
  • E. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian 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: Alzette
Triple: [Chiers, hasTributary, Alzette]
Generated description
The Alzette is a river in Luxembourg and France that flows through Luxembourg City and ultimately joins the Sauer, making it an important waterway in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alzette
Target entity description: The Alzette is a river in Luxembourg and France that flows through Luxembourg City and ultimately joins the Sauer, making it an important waterway in the region.
  • A. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • B. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • C. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • D. Mitau
    Mitau, historically known as the capital of the Duchy of Courland and Semigallia, is the former German name for the city now called Jelgava in present-day Latvia.
  • E. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bee12488190ab217e8956f2f1f3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1257153748190947cd80589620f12 completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c129464108819086b1a3991ef4c9e1 completed March 23, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69c129d7cd348190963e1a266d5e88ae completed March 23, 2026, 11:53 a.m.
Created at: March 22, 2026, 4:14 p.m.