Triple

T18230146
Position Surface form Disambiguated ID Type / Status
Subject PROFIBUS and PROFINET International E436523 entity
Predicate alsoKnownAs P39 FINISHED
Object PI 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: PI | Statement: [PROFIBUS and PROFINET International, alsoKnownAs, PI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PI
Context triple: [PROFIBUS and PROFINET International, alsoKnownAs, PI]
  • A. PI
    PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
  • B. PI
    PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
  • C. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • D. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • E. PIK
    PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
  • 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: PI
Target entity description: PI is the global industry organization responsible for developing and promoting the PROFIBUS and PROFINET industrial communication standards.
  • A. PI
    PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
  • B. PI
    PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
  • C. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • D. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • E. PIK
    PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b284a8819088456c2af5fa1de5 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.