Triple

T14538935
Position Surface form Disambiguated ID Type / Status
Subject QNX E341120 entity
Predicate targetHardware P5090 FINISHED
Object ARM architecture E13771 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: ARM architecture | Statement: [QNX, targetHardware, ARM architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM architecture
Context triple: [QNX, targetHardware, ARM architecture]
  • A. ARM chosen
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • B. ARM
    ARM is the station code used to identify Armidale railway station in New South Wales, Australia, within railway timetabling and ticketing systems.
  • C. ARM
    ARM is the three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
  • D. ARM
    ARM is a South African diversified mining and minerals company involved in the exploration and production of commodities such as iron ore, manganese, coal, copper, and platinum group metals.
  • E. ARM
    ARM is the National Rail station code for Armadale railway station in West Lothian, Scotland.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bb90008190947ac0961393446d completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.