Triple

T52670
Position Surface form Disambiguated ID Type / Status
Subject Raytheon Company E1034 entity
Predicate tickerSymbol P1447 FINISHED
Object RTN
RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
 E4016 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: RTN | Statement: [Raytheon Company, tickerSymbol, RTN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTN
Context triple: [Raytheon Company, tickerSymbol, RTN]
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • C. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • D. CTA
    CTA is the primary public transportation agency serving Chicago and many of its surrounding suburbs, operating the city's buses and rapid transit "L" train system.
  • E. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • 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: RTN
Triple: [Raytheon Company, tickerSymbol, RTN]
Generated description
RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTN
Target entity description: RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • A. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • B. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • E. PRR
    PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b0382b48190a7ca80ade6d2e270 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e67187c8190950aec5d9f8ecc60 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24eff3f0881909b46502175682d99 completed Feb. 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69a2542d9b388190bcc4581c3b79aa51 completed Feb. 28, 2026, 2:34 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.