Triple

T10208989
Position Surface form Disambiguated ID Type / Status
Subject Siemens AG E242277 entity
Predicate tradedAs P2822 FINISHED
Object SIE E242277 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: SIE | Statement: [Siemens AG, tradedAs, SIE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIE
Context triple: [Siemens AG, tradedAs, SIE]
  • A. SIE chosen
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • B. SCE
    SCE is the abbreviation for the Office of South Central European Affairs, a U.S. State Department office focused on diplomacy and policy in the South Central Europe region.
  • C. SCE
    SCE is the abbreviated name for the SOM Steering Committee on ECOTECH, a body within APEC that oversees and coordinates economic and technical cooperation initiatives.
  • D. SCE
    SCE is a philanthropic organization focused on improving youth development and education through strategic investments and partnerships.
  • E. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395fa86cc8190b4f115b5a0f99772 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652cca9c081909f705365c70db009 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 10:59 a.m.