Triple

T6596444
Position Surface form Disambiguated ID Type / Status
Subject Amiga E148486 entity
Predicate graphicsChipset P20530 FINISHED
Object OCS
OCS (Original Chip Set) is the first-generation custom graphics and sound chipset used in early Commodore Amiga computers, providing advanced multimedia capabilities for its time.
 E607154 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: OCS | Statement: [Amiga, graphicsChipset, OCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OCS
Context triple: [Amiga, graphicsChipset, OCS]
  • A. OCS
    OCS is a United States Marine Corps training program that evaluates and prepares prospective officers for commissioning.
  • B. OCS
    OCS (Online Charging System) is a real-time telecommunications billing platform that manages and rates service usage, often working with PCRF to enforce charging and policy decisions.
  • C. OCM
    OCM is the commonly used abbreviation for Osaka College of Music, a specialized higher education institution for music studies in Osaka, Japan.
  • D. OCE
    OCE is the three-letter IATA airport code for Ocean City Municipal Airport in Maryland, United States.
  • E. OFCS
    OFCS (Online Charging System) is a telecommunications network component that performs real-time charging and credit control for services such as voice, data, and messaging.
  • 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: OCS
Triple: [Amiga, graphicsChipset, OCS]
Generated description
OCS (Original Chip Set) is the first-generation custom graphics and sound chipset used in early Commodore Amiga computers, providing advanced multimedia capabilities for its time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OCS
Target entity description: OCS (Original Chip Set) is the first-generation custom graphics and sound chipset used in early Commodore Amiga computers, providing advanced multimedia capabilities for its time.
  • A. OCS
    OCS is a United States Marine Corps training program that evaluates and prepares prospective officers for commissioning.
  • B. OCS
    OCS (Online Charging System) is a real-time telecommunications billing platform that manages and rates service usage, often working with PCRF to enforce charging and policy decisions.
  • C. OCM
    OCM is the commonly used abbreviation for Osaka College of Music, a specialized higher education institution for music studies in Osaka, Japan.
  • D. OCE
    OCE is the three-letter IATA airport code for Ocean City Municipal Airport in Maryland, United States.
  • E. OFCS
    OFCS (Online Charging System) is a telecommunications network component that performs real-time charging and credit control for services such as voice, data, and messaging.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42fc9ec8190a6bb19010337d516 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e581a4f88190b1f64033a49d1bae completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.