Triple

T4277667
Position Surface form Disambiguated ID Type / Status
Subject PostScript E97080 entity
Predicate influenced P9 FINISHED
Object PCL E155914 NE FINISHED

How this triple was built (2 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: PCL | Statement: [PostScript, influenced, PCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PCL
Context triple: [PostScript, influenced, PCL]
  • A. PCL chosen
    PCL (Printer Command Language) is a page description language developed by Hewlett-Packard that became a widely used standard for controlling laser and inkjet printers.
  • B. PCD
    PCD is a U.S. Army facility in Colorado that stored and oversaw the destruction of chemical weapons as part of the nation’s chemical demilitarization program.
  • C. LCL
    LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
  • D. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • E. PCC
    PCC is a standardized, streamlined electric streetcar design widely used in North American and European cities during the mid-20th century for urban public transit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b3b52c8190ae7c05448faf5558 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.