Triple

T9611706
Position Surface form Disambiguated ID Type / Status
Subject PDP-8 E232116 entity
Predicate family P566 FINISHED
Object PDP series E701308 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: PDP series | Statement: [PDP-8, family, PDP series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PDP series
Context triple: [PDP-8, family, PDP series]
  • A. PDP series chosen
    The PDP series is a line of influential minicomputers developed by Digital Equipment Corporation that played a key role in the evolution of interactive computing and time-sharing systems in the 1960s and 1970s.
  • B. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • C. MCP series
    The MCP series is a line of Motorola VMEbus-based computer systems designed for embedded and industrial computing applications.
  • D. Quadra series
    The Quadra series was a line of high-end Apple Macintosh desktop computers from the early 1990s, known for using Motorola 68040 processors and targeting professional and power users.
  • E. Apollo DN500 series
    The Apollo DN500 series was a line of 1980s Apollo Computer workstations known for their advanced graphics and networking capabilities in technical and engineering environments.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a87764481909ab96cd2ab96d14b completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.