Triple

T28619482
Position Surface form Disambiguated ID Type / Status
Subject FXC compiler E724344 entity
Predicate supportsFeatureLevel P203 FINISHED
Object Direct3D feature level 9_2
Direct3D feature level 9_2 is a graphics hardware capability tier in Direct3D that defines a specific subset of rendering features and resource limits typically associated with lower-end or older GPUs.
E1828714 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: Direct3D feature level 9_2 | Statement: [FXC compiler, supportsFeatureLevel, Direct3D feature level 9_2]
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: Direct3D feature level 9_2
Triple: [FXC compiler, supportsFeatureLevel, Direct3D feature level 9_2]
Generated description
Direct3D feature level 9_2 is a graphics hardware capability tier in Direct3D that defines a specific subset of rendering features and resource limits typically associated with lower-end or older GPUs.

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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_6a018a50645481908e9ab1330c01e407 completed May 11, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc377c9d481908f9f817d00cd13b2 completed May 31, 2026, 11:25 p.m.
NEDg Description generation batch_6a1cc44ac1448190b0dc305eb5e460be completed May 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc571b3b481908c523e5bad5e086a completed May 31, 2026, 11:34 p.m.
Created at: April 28, 2026, 4:32 a.m.