Triple
T17029817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor Marina |
E413161
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bangor railway station |
E1027062
|
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: Bangor railway station | Statement: [Bangor Marina, near, Bangor railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangor railway station Context triple: [Bangor Marina, near, Bangor railway station]
-
A.
Bangor railway station
chosen
Bangor railway station is the main rail terminus serving the seaside town of Bangor in County Down, Northern Ireland.
-
B.
Bangor railway station
Bangor railway station is a key passenger rail hub in the city of Bangor, Gwynedd, providing regional and long-distance services across North Wales and to major UK destinations.
-
C.
Lannion station
Lannion station is a regional railway station in the town of Lannion in Brittany, France, providing passenger rail services that connect the area to other parts of the region and country.
-
D.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
-
E.
Radnor station
Radnor station is a SEPTA rapid transit stop in Radnor, Pennsylvania, serving passengers on the Norristown High Speed Line.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012336cfd481909f93c6ea7c94b49f |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.