Triple
T22143059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A4 |
E547213
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | ARM Thumb-2 |
—
|
NE NERFINISHED |
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 Thumb-2 | Statement: [Apple A4, supports, ARM Thumb-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM Thumb-2 Context triple: [Apple A4, supports, ARM Thumb-2]
-
A.
ARMv7-A architecture
chosen
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.
-
B.
ARM
ARM is the National Rail station code for Armadale railway station in West Lothian, Scotland.
-
C.
ARM
ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
-
D.
ARM
ARM is the station code used to identify Plaza de Armas station within its transit network.
-
E.
ARM
ARM is the station code used to identify Armidale railway station in New South Wales, Australia, within railway timetabling and ticketing systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bf78108190b50d937917258693 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.