Triple
T6991862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inferno |
E162102
|
entity |
| Predicate | runsOnArchitecture |
P24956
|
FINISHED |
| Object | ARM |
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 | Statement: [Inferno, runsOnArchitecture, ARM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM Context triple: [Inferno, runsOnArchitecture, ARM]
-
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 three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
-
C.
ARM9
ARM9 is a family of 32-bit RISC microprocessor cores from ARM designed for embedded systems, known for their balance of performance, power efficiency, and widespread use in consumer and industrial devices.
-
D.
ARMv7-A architecture
ARMv7-A architecture is a 32-bit ARM processor architecture widely used in smartphones, tablets, and embedded systems, featuring advanced performance, virtualization, and security capabilities.
-
E.
ARMv6 architecture family
The ARMv6 architecture family is a generation of 32-bit ARM processor designs that introduced significant enhancements in performance, multimedia processing, and security features for mobile and embedded devices.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d144648190b7e6558246b013e3 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a6bbdc81908c96871f151db279 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:32 p.m.