Triple

T4255542
Position Surface form Disambiguated ID Type / Status
Subject Brig-Glis E95963 entity
Predicate nearRiver P350 FINISHED
Object Saltina
Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
 E424686 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: Saltina | Statement: [Brig-Glis, nearRiver, Saltina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saltina
Context triple: [Brig-Glis, nearRiver, Saltina]
  • A. Verona Beach
    Verona Beach is the modern, stylized coastal city that serves as the backdrop for Baz Luhrmann’s 1996 film adaptation of Shakespeare’s "Romeo + Juliet."
  • B. Boca
    Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
  • C. Patara
    Patara was an important ancient port city of Lycia on the southwestern coast of modern-day Turkey, known as a major maritime and commercial center and later as a significant site in early Christianity.
  • D. Belmar
    Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
  • E. Belmar
    Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
  • 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: Saltina
Triple: [Brig-Glis, nearRiver, Saltina]
Generated description
Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saltina
Target entity description: Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
  • A. Verona Beach
    Verona Beach is the modern, stylized coastal city that serves as the backdrop for Baz Luhrmann’s 1996 film adaptation of Shakespeare’s "Romeo + Juliet."
  • B. Boca
    Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
  • C. Patara
    Patara was an important ancient port city of Lycia on the southwestern coast of modern-day Turkey, known as a major maritime and commercial center and later as a significant site in early Christianity.
  • D. Belmar
    Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
  • E. Belmar
    Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:06 p.m.