Triple
T12645659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E52 |
E302015
|
entity |
| Predicate | hasCPU |
P182
|
FINISHED |
| Object | ARM 11 |
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 11 | Statement: [Nokia E52, hasCPU, ARM 11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM 11 Context triple: [Nokia E52, hasCPU, ARM 11]
-
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 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.
-
C.
ARM
ARM is the National Rail station code for Armadale railway station in West Lothian, Scotland.
-
D.
ARM
ARM is Microsoft Azure’s unified management and deployment service that enables users to provision, configure, and organize cloud resources through templates, APIs, and role-based access control.
-
E.
ARM
ARM is the three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614cefdc81908cfc4a4d04aa6eda |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687961d88190a605f17425ad7547 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.