Triple
T25741496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Lakefield |
E648228
|
entity |
| Predicate | exampleSKU |
P64697
|
FINISHED |
| Object |
Intel Core i5-L16G7
Intel Core i5-L16G7 is a low-power hybrid mobile processor from Intel’s Lakefield family that combines high-performance and energy-efficient cores for ultra-portable devices.
|
E1693043
|
NE FINISHED |
How this triple was built (3 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: Intel Core i5-L16G7 | Statement: [Intel Lakefield, exampleSKU, Intel Core i5-L16G7]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Intel Core i5-L16G7 Triple: [Intel Lakefield, exampleSKU, Intel Core i5-L16G7]
Generated description
Intel Core i5-L16G7 is a low-power hybrid mobile processor from Intel’s Lakefield family that combines high-performance and energy-efficient cores for ultra-portable devices.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleSKU Context triple: [Intel Lakefield, exampleSKU, Intel Core i5-L16G7]
-
A.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
-
B.
productStandard
Indicates that an entity complies with, is governed by, or is defined according to a particular product-related standard or specification.
-
C.
productIndication
Indicates that a product is intended, approved, or used for a particular purpose, condition, or application.
-
D.
productVariant
chosen
Indicates that one entity is a specific variant or version of a more general product entity.
-
E.
exportProduct
Indicates that an entity sends or sells a product from its own country or region to another country or external market.
- F. None of above.
Provenance (6 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1b3010819098da2e7d46dfc326 |
completed | May 2, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc05f5808190a9b05ef5fe13daf4 |
completed | May 22, 2026, 9:35 p.m. |
| NEDg | Description generation | batch_6a10cc9e0d7c81909e6acbbc8c7ac7de |
completed | May 22, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10cd2723f88190a55aea01fba6dcad |
completed | May 22, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 3:43 a.m.