Triple

T3738223
Position Surface form Disambiguated ID Type / Status
Subject Penske Automotive Group E79635 entity
Predicate hasTradingSymbol P1447 FINISHED
Object PAG E384101 NE FINISHED

How this triple was built (3 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: PAG | Statement: [Penske Automotive Group, hasTradingSymbol, PAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PAG
Context triple: [Penske Automotive Group, hasTradingSymbol, PAG]
  • A. PAG chosen
    PAG is the stock ticker and common abbreviation for Penske Automotive Group, a large international transportation services company specializing in automotive and commercial truck dealerships.
  • B. Pagasae
    Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
  • C. PAP
    PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
  • D. PAP
    PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
  • E. PAPPG
    PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTradingSymbol
Context triple: [Penske Automotive Group, hasTradingSymbol, PAG]
  • A. tickerSymbol chosen
    Indicates the association between a financial instrument or company and its unique abbreviated code used for trading on a securities exchange.
  • B. hasTradingVenueType
    Indicates the specific category or type of trading venue associated with a given trading platform or marketplace.
  • C. hasTradeName
    Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
  • D. tradesAs
    Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
  • E. isExchangeTraded
    Indicates that the entity is traded on a formal exchange or marketplace rather than over-the-counter or privately.
  • F. None of above.

Provenance (4 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3e9248819098d481fe29e1c628 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f857208190a51b264a5affca3d completed March 14, 2026, 4:32 a.m.
PD Predicate disambiguation batch_69adc048f28c819092bed16a95a3cac1 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.