Triple

T18230479
Position Surface form Disambiguated ID Type / Status
Subject Sercos I E436529 entity
Predicate partOf P40 FINISHED
Object Sercos NE NERFINISHED

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: Sercos | Statement: [Sercos I, partOf, Sercos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sercos
Context triple: [Sercos I, partOf, Sercos]
  • A. Sercos III
    Sercos III is a real-time industrial Ethernet communication standard widely used for high-performance motion control and automation systems.
  • B. Sercos I chosen
    Sercos I is the original generation of the Sercos (Serial Real-time Communication System) industrial communication standard used for high-speed, real-time motion control in automation systems.
  • C. Sercos International
    Sercos International is an industry consortium that develops and maintains the Sercos real-time communication standards for industrial automation.
  • D. EtherCAT
    EtherCAT is a high-performance industrial Ethernet protocol designed for real-time control in automation systems.
  • E. FSoE (FailSafe over EtherCAT)
    FSoE (FailSafe over EtherCAT) is a safety communication protocol that enables the transmission of fail-safe control data over standard EtherCAT networks in compliance with functional safety standards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b284a8819088456c2af5fa1de5 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.