Triple

T4384940
Position Surface form Disambiguated ID Type / Status
Subject EtherCAT E99218 entity
Predicate organization P629 FINISHED
Object EtherCAT Technology Group E99218 NE FINISHED

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: EtherCAT Technology Group | Statement: [EtherCAT, organization, EtherCAT Technology Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EtherCAT Technology Group
Context triple: [EtherCAT, organization, EtherCAT Technology Group]
  • A. EtherCAT chosen
    EtherCAT is a high-performance industrial Ethernet protocol designed for real-time control in automation systems.
  • B. Sercos III
    Sercos III is a real-time industrial Ethernet communication standard widely used for high-performance motion control and automation systems.
  • C. Hirschmann
    Hirschmann is a surname of German origin borne by various notable individuals across fields such as diplomacy, engineering, and academia.
  • D. HART Communication Foundation
    The HART Communication Foundation is an industry consortium that develops and maintains the HART and WirelessHART communication standards for smart field instruments and process automation.
  • E. S7 Group
    S7 Group is a Russian aviation holding company best known for owning and operating S7 Airlines and related air transport businesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35264e44c81908dd0e0a81f1353bb completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e526e35c8190838c59e402da3c89 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:19 p.m.