Triple
T19388362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratho Station |
E484993
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ratho 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: Ratho railway station | Statement: [Ratho Station, namedAfter, Ratho railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratho railway station Context triple: [Ratho Station, namedAfter, Ratho railway station]
-
A.
Ratho railway station
chosen
Ratho railway station was a former railway stop in Ratho, Scotland, that served the local village and surrounding area before its closure.
-
B.
Landhi Railway Station
Landhi Railway Station is a major railway hub in the Landhi area of Karachi, Pakistan, serving as an important stop for intercity and commuter train services.
-
C.
Datia railway station
Datia railway station is a regional rail transit hub in Datia, Madhya Pradesh, India, serving passenger and local train services on the North Central Railway network.
-
D.
Bro railway station
Bro railway station is a local commuter rail stop in Bro, Sweden, serving as part of the Stockholm commuter rail network.
-
E.
Trang railway station
Trang railway station is the main railway hub serving the town and province of Trang in southern Thailand, connecting the region to the national rail network.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.