Triple

T18319588
Position Surface form Disambiguated ID Type / Status
Subject SNC-Lavalin E438834 entity
Predicate formerName P65 FINISHED
Object Lavalin
Lavalin was a major Canadian engineering and construction firm that later became part of SNC-Lavalin.
 E1317802 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: Lavalin | Statement: [SNC-Lavalin, formerName, Lavalin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lavalin
Context triple: [SNC-Lavalin, formerName, Lavalin]
  • A. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • B. Balsan
    Balsan is a French surname most notably associated with Jacques Balsan, an industrialist and aviation pioneer linked to early 20th-century French high society.
  • C. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • D. Novarka
    Novarka is a French construction consortium best known for designing and building the New Safe Confinement structure over the damaged Chernobyl Nuclear Power Plant reactor.
  • E. Nivaclé
    The Nivaclé are an indigenous people of the Gran Chaco region of South America, known for their distinct language, traditional subsistence practices, and rich cultural heritage.
  • 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: Lavalin
Triple: [SNC-Lavalin, formerName, Lavalin]
Generated description
Lavalin was a major Canadian engineering and construction firm that later became part of SNC-Lavalin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lavalin
Target entity description: Lavalin was a major Canadian engineering and construction firm that later became part of SNC-Lavalin.
  • A. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • B. Balsan
    Balsan is a French surname most notably associated with Jacques Balsan, an industrialist and aviation pioneer linked to early 20th-century French high society.
  • C. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • D. Novarka
    Novarka is a French construction consortium best known for designing and building the New Safe Confinement structure over the damaged Chernobyl Nuclear Power Plant reactor.
  • E. Nivaclé
    The Nivaclé are an indigenous people of the Gran Chaco region of South America, known for their distinct language, traditional subsistence practices, and rich cultural heritage.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa4d3308190883714e1ef6a1d84 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c6094881909add4e2fe99a1bba completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c52d0ba48190845d461df02c3aa3 completed May 13, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_6a03c5dd07488190ae04c6b406ab29c9 completed May 13, 2026, 12:29 a.m.
Created at: April 10, 2026, 10:36 a.m.