Triple
T1319154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caledonian Railway |
E28175
|
entity |
| Predicate | connectedRegion |
P285
|
FINISHED |
| Object | Central Belt |
E60901
|
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: Central Belt | Statement: [Caledonian Railway, connectedRegion, Central Belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Belt Context triple: [Caledonian Railway, connectedRegion, Central Belt]
-
A.
Midlands
The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
-
B.
Midlands
Midlands is a central province of Zimbabwe known for its mining activities and diverse mix of ethnic groups.
-
C.
central Scotland
chosen
Central Scotland is the densely populated heartland of the country, encompassing major cities like Glasgow and Edinburgh and serving as a key hub for Scotland’s transport, economy, and culture.
-
D.
North East
North East is a rural town in northeastern Dutchess County, New York, known for its agricultural landscape and the village of Millerton.
-
E.
North West
North West is a province in north-central South Africa known for its mining industry, agricultural activities, and attractions such as the Pilanesberg National Park and Sun City resort.
- 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_69ad08a5b5fc81909b75f07b620447cd |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:55 p.m.