Triple
T478191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia |
E9106
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | NOK (NYSE) |
E9106
|
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: NOK (NYSE) | Statement: [Nokia, tickerSymbol, NOK (NYSE)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOK (NYSE) Context triple: [Nokia, tickerSymbol, NOK (NYSE)]
-
A.
NYK
NYK is the standard abbreviation for the New York Knicks, a professional basketball team based in New York City that competes in the NBA.
-
B.
NCR Corporation
NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
-
C.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
-
D.
Tokyo Tsushin Kogyo
Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
-
E.
Nokia
chosen
Nokia is a Finnish multinational telecommunications and consumer electronics company best known for its historic leadership in mobile phones and its current focus on network infrastructure and 5G technologies.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03f3fbc81909af6e4496d5e6c2a |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46804b90881908422851eeb9bbba1 |
completed | March 1, 2026, 4:23 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.