Triple
T9665208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossett railway station |
E233684
|
entity |
| Predicate | servedArea |
P82
|
FINISHED |
| Object | Rossett |
E233679
|
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: Rossett | Statement: [Rossett railway station, servedArea, Rossett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossett Context triple: [Rossett railway station, servedArea, Rossett]
-
A.
Rossett
chosen
Rossett is a village in Wrexham County Borough, Wales, situated between Wrexham and Chester near the England–Wales border.
-
B.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
C.
Silksworth
Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
-
D.
Rippingale
Rippingale is a rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
E.
Rackerby
Rackerby is a small unincorporated rural community in Northern California known for its forested surroundings and quiet, sparsely populated setting.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190f691c8819093fe133bdbe1c9d1 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:14 p.m.