Triple
T1937029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Architecture |
E41464
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object | Power.org |
E41465
|
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: Power.org | Statement: [Power Architecture, standardizedBy, Power.org]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Power.org Context triple: [Power Architecture, standardizedBy, Power.org]
-
A.
Power.org
chosen
Power.org is an industry consortium that develops and promotes open standards and specifications for the Power Architecture ecosystem, including PowerPC processors.
-
B.
POWER1
POWER1 is IBM’s first-generation 32-bit RISC microprocessor architecture used in early RS/6000 workstations and servers.
-
C.
Power & Energy
Power & Energy is a specialized division of WSP Global focused on providing engineering and consulting services for power generation, transmission, and energy infrastructure projects.
-
D.
Rénergie
Rénergie is a premium anti-aging skincare line by Lancôme known for its lifting, firming, and wrinkle-reducing treatments.
-
E.
POWER2
POWER2 is a second-generation IBM RISC microprocessor architecture designed to deliver high-performance computing, particularly for scientific and technical workloads.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f6285c8190925af156f49cf9a2 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:36 p.m.