Triple

T14789942
Position Surface form Disambiguated ID Type / Status
Subject Cintas Corporation E347625 entity
Predicate tickerSymbol P1447 FINISHED
Object CTAS
CTAS is the stock ticker symbol for Cintas Corporation, a major U.S.-based provider of corporate uniforms, facility services, and safety products.
 E1120151 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: CTAS | Statement: [Cintas Corporation, tickerSymbol, CTAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CTAS
Context triple: [Cintas Corporation, tickerSymbol, CTAS]
  • A. Tabularium
    The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
  • B. CASS
    CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
  • C. TCAT
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • D. CREA
    CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
  • E. CTSA
    CTSA is the French Armed Forces Blood Transfusion Center, responsible for collecting, testing, and supplying blood products to military personnel.
  • 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: CTAS
Triple: [Cintas Corporation, tickerSymbol, CTAS]
Generated description
CTAS is the stock ticker symbol for Cintas Corporation, a major U.S.-based provider of corporate uniforms, facility services, and safety products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CTAS
Target entity description: CTAS is the stock ticker symbol for Cintas Corporation, a major U.S.-based provider of corporate uniforms, facility services, and safety products.
  • A. Tabularium
    The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
  • B. CASS
    CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
  • C. TCAT
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • D. CREA
    CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
  • E. CTSA
    CTSA is the French Armed Forces Blood Transfusion Center, responsible for collecting, testing, and supplying blood products to military personnel.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bc8464819096b019f1e927d1a9 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe27e699688190952b6a4b922e3294 completed May 8, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69fe2896057881908b3947d9649739e7 completed May 8, 2026, 6:16 p.m.
Created at: April 10, 2026, 1:31 a.m.