Triple

T4604236
Position Surface form Disambiguated ID Type / Status
Subject Seille River (Saône tributary) E100390 entity
Predicate hasNameInLanguage P15 FINISHED
Object Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
E455903 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: Seille | Statement: [Seille River (Saône tributary), hasNameInLanguage, Seille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seille
Context triple: [Seille River (Saône tributary), hasNameInLanguage, Seille]
  • A. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • B. Selänne
    Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • E. Maalla
    Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
  • 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: Seille
Triple: [Seille River (Saône tributary), hasNameInLanguage, Seille]
Generated description
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seille
Target entity description: Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
  • A. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • B. Selänne
    Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • E. Maalla
    Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5999f9c88190a43309573df61159 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa676b0081909f56049f466e1197 completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfc1ee7708190bde64616c0e2a650 completed March 21, 2026, 2:02 a.m.
NED2 Entity disambiguation (via description) batch_69bdfcd30a708190aa640230a17b4ec6 completed March 21, 2026, 2:05 a.m.
Created at: March 20, 2026, 1:12 p.m.