Triple

T2505089
Position Surface form Disambiguated ID Type / Status
Subject Allier E52558 entity
Predicate hasTributary P415 FINISHED
Object Sioule
The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
 E271845 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: Sioule | Statement: [Allier, hasTributary, Sioule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sioule
Context triple: [Allier, hasTributary, Sioule]
  • A. La Rivière
    La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
  • B. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • 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: Sioule
Triple: [Allier, hasTributary, Sioule]
Generated description
The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sioule
Target entity description: The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • A. La Rivière
    La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
  • B. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cec9f48190848b6129aa394ce4 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa57aa4819096578a5538973ec4 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.