Triple

T13320250
Position Surface form Disambiguated ID Type / Status
Subject ATI Technologies E317294 entity
Predicate product P490 FINISHED
Object Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
E1032917 NE FINISHED

How this triple was built (4 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: Xilleon | Statement: [ATI Technologies, product, Xilleon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xilleon
Context triple: [ATI Technologies, product, Xilleon]
  • A. Erixx
    Erixx is a regional railway company in Germany that operates local passenger train services in Lower Saxony and surrounding areas.
  • B. Pteleon
    Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
  • C. Xelb
    Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
  • D. Loëx
    Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • E. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Xilleon
Triple: [ATI Technologies, product, Xilleon]
Generated description
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xilleon
Target entity description: Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
  • A. Erixx
    Erixx is a regional railway company in Germany that operates local passenger train services in Lower Saxony and surrounding areas.
  • B. Pteleon
    Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
  • C. Xelb
    Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
  • D. Loëx
    Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • E. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • F. None of above. chosen

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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990faa95481908a7fd297959c062e completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ee695c81909ffeeb0901ee66c1 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b994188190b273cc6116919c22 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:29 p.m.