Triple
T18636513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsfield |
E455562
|
entity |
| Predicate | railLinksTo |
P13914
|
FINISHED |
| Object | London Charing Cross |
—
|
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: London Charing Cross | Statement: [Chelsfield, railLinksTo, London Charing Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Charing Cross Context triple: [Chelsfield, railLinksTo, London Charing Cross]
-
A.
London Charing Cross
chosen
London Charing Cross is a central London railway terminus and major transport hub located near Trafalgar Square.
-
B.
Charing Cross
Charing Cross is a central London junction and landmark often considered the traditional geographic center of the city, from which distances to London are measured.
-
C.
Charing Cross
Charing Cross is a central area and major road junction in Glasgow, Scotland, known for its heavy traffic and proximity to key city landmarks.
-
D.
St Mary’s Hospital, London
St Mary’s Hospital, London is a major teaching hospital in Paddington renowned for its historic Lindo Wing, where numerous members of the British royal family have been born.
-
E.
Portland Hospital, London
Portland Hospital in London is a private maternity and gynecology hospital known for serving high-profile and royal patients.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc90b508190849cecb462b52b62 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.