Triple
T18702590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banco Santander |
E457288
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | SAN |
—
|
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: SAN | Statement: [Banco Santander, tickerSymbol, SAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAN Context triple: [Banco Santander, tickerSymbol, SAN]
-
A.
SAN
SAN is the National Rail station code for Sandown railway station on the Isle of Wight, England.
-
B.
SAN
SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
-
C.
SAN
SAN is the acronym for the Schuylkill Action Network, a collaborative partnership focused on protecting and restoring the Schuylkill River watershed.
-
D.
SAN
chosen
SAN is the stock ticker symbol for Banco Santander S.A., a major Spanish multinational banking and financial services company.
-
E.
SAN
SAN is the vehicle registration code used on license plates for vehicles registered in the Hof district of 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56714d0588190ac050356bc2784fd |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.