Triple

T8284234
Position Surface form Disambiguated ID Type / Status
Subject Zephyr RTOS E193752 entity
Predicate shortName P43 FINISHED
Object Zephyr
Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
 E723423 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: Zephyr | Statement: [Zephyr RTOS, shortName, Zephyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zephyr
Context triple: [Zephyr RTOS, shortName, Zephyr]
  • A. Zefyria
    Zefyria is a small inland village on the Greek island of Milos, known for its traditional Cycladic character and quiet, rural setting.
  • B. Aquilon
    Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
  • C. Nimbus
    Nimbus is the central coordination and resource management service in Apache Storm that assigns tasks to worker nodes and oversees the execution of distributed stream processing topologies.
  • D. Nimbus
    Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
  • E. Notus
    Notus is the Greek god of the warm, stormy south wind, associated with late summer and early autumn weather.
  • 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: Zephyr
Triple: [Zephyr RTOS, shortName, Zephyr]
Generated description
Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zephyr
Target entity description: Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
  • A. Zefyria
    Zefyria is a small inland village on the Greek island of Milos, known for its traditional Cycladic character and quiet, rural setting.
  • B. Aquilon
    Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
  • C. Nimbus
    Nimbus is the central coordination and resource management service in Apache Storm that assigns tasks to worker nodes and oversees the execution of distributed stream processing topologies.
  • D. Nimbus
    Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
  • E. Notus
    Notus is the Greek god of the warm, stormy south wind, associated with late summer and early autumn weather.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad0535081908bb234cfc0e32b32 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e20f71c8190959319c6683a2810 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:52 p.m.