Triple
T12300446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guben |
E293204
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | SPN |
E828530
|
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: SPN | Statement: [Guben, vehicleRegistrationCode, SPN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPN Context triple: [Guben, vehicleRegistrationCode, SPN]
-
A.
SPN
SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
-
B.
SPN
SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
-
C.
SPN
chosen
SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
-
D.
SNPA
SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
-
E.
nSP
nSP is the commonly used abbreviation for the United Kingdom’s New State Pension system introduced for people reaching State Pension age on or after 6 April 2016.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edb59908190bcef9d0cdc11081f |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7d757881908ac6af2b70a6dafe |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.