Triple

T29181884
Position Surface form Disambiguated ID Type / Status
Subject Address Generator Unit E739764 entity
Predicate usedInChipset P84346 FINISHED
Object OCS
OCS is a chipset platform that incorporates an Address Generator Unit to handle efficient memory addressing and data access operations.
E607154 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: OCS | Statement: [Address Generator Unit, usedInChipset, OCS]
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: [Address Generator Unit, usedInChipset, OCS]
Generated description
OCS is a chipset platform that incorporates an Address Generator Unit to handle efficient memory addressing and data access operations.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInChipset
Context triple: [Address Generator Unit, usedInChipset, OCS]
  • A. usedWithChipsetsFrom
    Indicates that something is designed or suitable to be used together with specific chipsets from a given manufacturer or family.
  • B. hasOnChip
    Indicates that one component or system includes another component integrated directly onto the same chip or integrated circuit.
  • C. usedInDeviceModel
    Indicates that something (such as a component, material, or technology) is utilized within or incorporated into a particular device model.
  • D. chipset
    Indicates that one entity is the chipset (or is associated with the chipset) used by, contained in, or otherwise functionally related to another entity.
  • E. chipsetComponent chosen
    Indicates that one entity is a hardware component that forms part of, or is integrated into, a particular chipset.
  • 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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25507e14ec8190a44cacebe8b20ac7 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554ec348081909887f4dbdf25c69c completed June 7, 2026, 11:24 a.m.
NED2 Entity disambiguation (via description) batch_6a2555a8b3948190bee8b09be3fdad21 completed June 7, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: April 28, 2026, 11:57 a.m.