Triple

T22948925
Position Surface form Disambiguated ID Type / Status
Subject Piaggio E569952 entity
Predicate tickerSymbol P1447 FINISHED
Object PIA NE NERFINISHED

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: PIA | Statement: [Piaggio, tickerSymbol, PIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PIA
Context triple: [Piaggio, tickerSymbol, PIA]
  • A. PIA
    PIA is the ICAO airline designator for Pakistan International Airlines, the national flag carrier of Pakistan.
  • B. PIA
    PIA is the IATA airport code for General Wayne A. Downing Peoria International Airport, a commercial airport serving the Peoria, Illinois area.
  • C. PI
    PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
  • D. PI
    PI is the global industry organization responsible for developing and promoting the PROFIBUS and PROFINET industrial communication standards.
  • E. PI
    PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PIA
Target entity description: PIA is the stock ticker symbol for Piaggio & C. SpA, the Italian manufacturer best known for producing Vespa scooters and other two- and three-wheeled motor vehicles.
  • A. PIA
    PIA is the ICAO airline designator for Pakistan International Airlines, the national flag carrier of Pakistan.
  • B. PIA
    PIA is the IATA airport code for General Wayne A. Downing Peoria International Airport, a commercial airport serving the Peoria, Illinois area.
  • C. PI
    PI is the global industry organization responsible for developing and promoting the PROFIBUS and PROFINET industrial communication standards.
  • D. PI
    PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
  • E. PI
    PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
  • F. None of above. chosen

Provenance (2 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819fbf8c8190ad80c93f1507aa73 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.