Triple
T21268772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOR |
E524199
|
entity |
| Predicate | stationCodeFor |
P1289
|
FINISHED |
| Object | Morges railway station |
—
|
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: Morges railway station | Statement: [MOR, stationCodeFor, Morges railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morges railway station Context triple: [MOR, stationCodeFor, Morges railway station]
-
A.
Morges railway station
chosen
Morges railway station is a Swiss rail station in the town of Morges, Vaud, serving as a regional and intercity stop between Lausanne and Geneva.
-
B.
Vallorbe railway station
Vallorbe railway station is a Swiss railway station in the municipality of Vallorbe that serves as a regional transport hub near the French border.
-
C.
Blonay station
Blonay station is a railway stop in the municipality of Blonay, Switzerland, serving regional trains in the canton of Vaud.
-
D.
Estavayer-le-Lac railway station
Estavayer-le-Lac railway station is a regional Swiss train station serving the town of Estavayer-le-Lac in the canton of Fribourg.
-
E.
Fribourg railway station
Fribourg railway station is a major Swiss rail hub in the city of Fribourg, serving as an important regional and intercity connection point between German- and French-speaking parts of the country.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.