Triple

T8071089
Position Surface form Disambiguated ID Type / Status
Subject Genivar Inc. E188373 entity
Predicate tickerSymbol P1447 FINISHED
Object GNV
GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
 E709695 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: GNV | Statement: [Genivar Inc., tickerSymbol, GNV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GNV
Context triple: [Genivar Inc., tickerSymbol, GNV]
  • A. GNA
    GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
  • B. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • C. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • D. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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: GNV
Triple: [Genivar Inc., tickerSymbol, GNV]
Generated description
GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GNV
Target entity description: GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
  • A. GNA
    GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
  • B. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • C. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • D. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4046a2148190a584e33bcf53cf22 completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e9225c8190bb196d9c325bb85e completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc664234c08190852b1449b5880ecc completed April 1, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_69cc674517b88190aa8fb73b0b8cf2ea completed April 1, 2026, 12:31 a.m.
Created at: March 30, 2026, 5:27 p.m.