Triple

T759264
Position Surface form Disambiguated ID Type / Status
Subject Maryland Area Regional Commuter E16028 entity
Predicate usesRollingStockFrom P5426 FINISHED
Object Siemens E49800 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: Siemens | Statement: [Maryland Area Regional Commuter, usesRollingStockFrom, Siemens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens
Context triple: [Maryland Area Regional Commuter, usesRollingStockFrom, Siemens]
  • A. Siemens chosen
    Siemens is a major German multinational conglomerate best known for its leading roles in industrial manufacturing, energy, healthcare technology, and infrastructure solutions worldwide.
  • B. General Electric
    General Electric is a major American multinational conglomerate historically known for its leadership in industrial manufacturing, aviation, power, and healthcare technologies.
  • C. Mitsubishi Electric
    Mitsubishi Electric is a global Japanese electronics and electrical equipment manufacturer known for producing advanced technologies ranging from factory automation systems and power equipment to large-scale display and video board solutions.
  • D. Rockwell Automation
    Rockwell Automation is a leading American industrial automation and information technology company known for providing control systems, software, and services to manufacturing and industrial clients worldwide.
  • E. Siemens SD660
    Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9cecd08190a23c9f65080a4ac7 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66673d6288190bb6a68c6c376016e completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.