Triple
T21800318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argyle Street railway station |
E538219
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Lanark |
—
|
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: Lanark | Statement: [Argyle Street railway station, connectsTo, Lanark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanark Context triple: [Argyle Street railway station, connectsTo, Lanark]
-
A.
Lanark
chosen
Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
-
B.
Lanark
Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
-
C.
Renfrew
Renfrew is a historic town in west-central Scotland, often referred to as the “Cradle of the Royal Stewarts” due to its long association with the Stewart royal dynasty.
-
D.
Renfrew
Renfrew is a county in eastern Ontario, Canada, known for its rural communities, forests, and location along the Ottawa River.
-
E.
Lanarkshire
Lanarkshire is a historic county and lieutenancy area in west-central Scotland that includes major urban centers such as Glasgow and has long been an important industrial and cultural region.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fede848190b8fe07941d6573d9 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.