Triple
T14927738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Mills railway station |
E372175
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sea Mills |
E622206
|
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: Sea Mills | Statement: [Sea Mills railway station, locatedIn, Sea Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea Mills Context triple: [Sea Mills railway station, locatedIn, Sea Mills]
-
A.
Sea Mills
chosen
Sea Mills is a suburban riverside area and railway station in Bristol, England, known for its residential character and access to local rail services.
-
B.
Fairwater
Fairwater is a residential suburb and community in the western part of Cardiff, Wales.
-
C.
Fairwater
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
-
D.
Hill Cove
Hill Cove is a small coastal settlement on West Falkland in the Falkland Islands, known for its sheep farming and remote, rural character.
-
E.
Sea Cliff
Sea Cliff is an affluent, scenic neighborhood in northwestern San Francisco known for its coastal bluffs, ocean views, and historic homes.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c4f9c481909642efccb29f71d4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:35 a.m.