Triple
T10208998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens AG |
E242277
|
entity |
| Predicate | hasStockTicker |
P1447
|
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, hasStockTicker, SIE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIE Context triple: [Siemens AG, hasStockTicker, 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_69d6a7e63c588190b239f8bdb13a3f3c |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 10:59 a.m.