Triple
T14532155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kew Railway Bridge |
E340941
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Strand-on-the-Green |
E979111
|
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: Strand-on-the-Green | Statement: [Kew Railway Bridge, connects, Strand-on-the-Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strand-on-the-Green Context triple: [Kew Railway Bridge, connects, Strand-on-the-Green]
-
A.
Strand-on-the-Green
chosen
Strand-on-the-Green is a picturesque riverside area in west London known for its historic houses, pubs, and scenic views along the River Thames.
-
B.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
C.
Winsted Green
Winsted Green is a central public park and gathering space in Winsted, Connecticut, known for its historic and community significance.
-
D.
Emersons Green
Emersons Green is a suburban residential and commercial area on the outskirts of Bristol in South Gloucestershire, England.
-
E.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea053f9bc8190901b9d321811d881 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a56872c8190a6d2421cb81aeeb1 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.