Triple
T21568262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuance Communications |
E532215
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | NUAN |
—
|
NE NERFINISHED |
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: NUAN | Statement: [Nuance Communications, tickerSymbol, NUAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NUAN Context triple: [Nuance Communications, tickerSymbol, NUAN]
-
A.
NUAN
chosen
NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
-
B.
NUE
NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
-
C.
NUOL
NUOL is the principal public university in Laos, offering a wide range of higher education and research programs across multiple disciplines.
-
D.
NUAS
NUAS is the abbreviation for the Northumbrian Universities Air Squadron, a Royal Air Force training unit for university students in the North East of England.
-
E.
NU
NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cad95c8190ab165ced6f242302 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 16, 2026, 6:30 p.m.