Triple

T18746228
Position Surface form Disambiguated ID Type / Status
Subject Fluor Corporation E458412 entity
Predicate tickerSymbol P1447 FINISHED
Object FLR
FLR is the New York Stock Exchange ticker symbol for Fluor Corporation, a global engineering, procurement, construction, and maintenance services company.
 E1341250 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: FLR | Statement: [Fluor Corporation, tickerSymbol, FLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FLR
Context triple: [Fluor Corporation, tickerSymbol, FLR]
  • A. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • B. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • C. FLS
    FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • D. FLS
    FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
  • E. FLAR
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • 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: FLR
Triple: [Fluor Corporation, tickerSymbol, FLR]
Generated description
FLR is the New York Stock Exchange ticker symbol for Fluor Corporation, a global engineering, procurement, construction, and maintenance services company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FLR
Target entity description: FLR is the New York Stock Exchange ticker symbol for Fluor Corporation, a global engineering, procurement, construction, and maintenance services company.
  • A. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • B. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • C. FLS
    FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • D. FLS
    FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
  • E. FLAR
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57692c380819091e8a919ab6c9ca9 completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d330ff48190b090399fe726383d completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053e216ce0819093f0e9e9b707fca8 completed May 14, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a053ed266a481908dc9ff85e1d7cf4f completed May 14, 2026, 3:17 a.m.
Created at: April 10, 2026, 11:51 a.m.