Triple
T14862576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyee railway station |
E349533
|
entity |
| Predicate | servedPlace |
P3936
|
FINISHED |
| Object | Wyee |
E484505
|
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: Wyee | Statement: [Wyee railway station, servedPlace, Wyee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyee Context triple: [Wyee railway station, servedPlace, Wyee]
-
A.
Wyee
chosen
Wyee is a small rural-residential locality in the Lake Macquarie region of New South Wales, Australia, situated between the Central Coast and the Hunter areas.
-
B.
Weeley
Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
-
C.
Yee
Yee is a Chinese-origin surname commonly found among people of East and Southeast Asian descent.
-
D.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
E.
Wanne
Wanne is a district within the German city of Herne in the Ruhr area of North Rhine-Westphalia.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650c41b081909cdadbaec472eee3 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.