Triple
T19317907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micro Center |
E483145
|
entity |
| Predicate | sellsBrand |
P38689
|
FINISHED |
| Object | ASUS |
—
|
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: ASUS | Statement: [Micro Center, sellsBrand, ASUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASUS Context triple: [Micro Center, sellsBrand, ASUS]
-
A.
ASUS
chosen
ASUS is a Taiwanese multinational technology company best known for producing computers, laptops, motherboards, and other consumer electronics and hardware devices.
-
B.
Acer
Acer is a genus of deciduous trees and shrubs best known for its maples, many of which are valued for their distinctive leaves, vibrant autumn colors, and sap used to produce maple syrup.
-
C.
Acer
Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
-
D.
ACER
ACER is the European Union agency that coordinates and supports national energy regulators to ensure the effective functioning of the EU’s internal energy market.
-
E.
Lenovo
Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics worldwide.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d85046c81909d972a6b369b0c2b |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.