Triple
T22588985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birchwood railway station |
E564885
|
entity |
| Predicate | hasServiceTo |
P6787
|
FINISHED |
| Object | Lea Green |
—
|
NE NERFINISHED |
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: Lea Green | Statement: [Birchwood railway station, hasServiceTo, Lea Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lea Green Context triple: [Birchwood railway station, hasServiceTo, Lea Green]
-
A.
Lea Green
chosen
Lea Green is a railway station in St Helens, Merseyside, serving as a local stop on routes between Liverpool and Manchester.
-
B.
Carole Bradshaw
Carole Bradshaw is a fictional character in the Top Gun film series, known as the mother of Bradley "Rooster" Bradshaw and the widow of Nick "Goose" Bradshaw.
-
C.
Julie Goodyear
Julie Goodyear is a British actress best known for her long-running role as barmaid Bet Lynch on the ITV soap opera Coronation Street.
-
D.
Renee Montgomery
Renee Montgomery is a former WNBA point guard, two-time league champion, and social justice advocate who later became a co-owner and executive of the Atlanta Dream.
-
E.
Sharon Vaughn
Sharon Vaughn is the mother of American actor and comedian Vince Vaughn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615ea5bc8190b7760cd0de9669dd |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:48 p.m.