Triple
T17870429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singleton railway station |
E446820
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | SGL |
—
|
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: SGL | Statement: [Singleton railway station, hasStationCode, SGL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SGL Context triple: [Singleton railway station, hasStationCode, SGL]
-
A.
SGL
chosen
SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
-
B.
SBGL
SBGL is the ICAO airport code for Rio de Janeiro–Galeão International Airport, a major international gateway serving Rio de Janeiro, Brazil.
-
C.
SG
SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
-
D.
SG
SG is the vehicle registration code used on license plates for cars registered in Gliwice, Poland.
-
E.
SG
SG is the regional vehicle registration code used on license plates for vehicles registered in Dravograd, Slovenia.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa24c8481909de38953a88ff615 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.