Triple
T1319177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caledonian Railway |
E28175
|
entity |
| Predicate | servedPort |
P1763
|
FINISHED |
| Object | Greenock |
E27634
|
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: Greenock | Statement: [Caledonian Railway, servedPort, Greenock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenock Context triple: [Caledonian Railway, servedPort, Greenock]
-
A.
Greenock
chosen
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
-
B.
Inverclyde
Inverclyde is a council area in western Scotland centered on the lower reaches of the River Clyde, known for its historic shipbuilding towns and maritime heritage.
-
C.
Gourock
Gourock is a coastal town and ferry port on the Firth of Clyde in Inverclyde, western Scotland.
-
D.
Peterhead
Peterhead is a coastal town in Aberdeenshire, northeast Scotland, known historically for its fishing industry and maritime heritage.
-
E.
Kilmarnock
Kilmarnock is a large town in East Ayrshire, Scotland, historically known for its textile and engineering industries and its association with the poet Robert Burns.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1780be8819083a9365b8a49305d |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58a410a8819091c9bc3f46b0c09d |
completed | March 9, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.