Triple

T25932958
Position Surface form Disambiguated ID Type / Status
Subject Intel integrated graphics E653478 entity
Predicate hasSeries P1761 FINISHED
Object Intel UHD Graphics
Intel UHD Graphics is a family of integrated GPUs built into Intel processors, providing basic to moderate graphics performance for everyday computing, media playback, and light gaming without requiring a dedicated graphics card.
E1700596 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: Intel UHD Graphics | Statement: [Intel integrated graphics, hasSeries, Intel UHD Graphics]
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 UHD Graphics
Triple: [Intel integrated graphics, hasSeries, Intel UHD Graphics]
Generated description
Intel UHD Graphics is a family of integrated GPUs built into Intel processors, providing basic to moderate graphics performance for everyday computing, media playback, and light gaming without requiring a dedicated graphics card.

Provenance (5 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_69e7ab3eb9b881909c1390690551f868 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60419ef7881909fe061a3d1aa1ddf completed May 2, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127349eac81909d0b551b8db77b5e completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a113609155081908805ff51b1c73940 completed May 23, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_6a113720dbb08190818acf5d17681c8e completed May 23, 2026, 5:12 a.m.
Created at: April 22, 2026, 8:37 a.m.