Triple
T18116581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alperton |
E433619
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Park Royal |
—
|
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: Park Royal | Statement: [Alperton, adjacentTo, Park Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Royal Context triple: [Alperton, adjacentTo, Park Royal]
-
A.
Park Royal
chosen
Park Royal is a major industrial and business district in northwest London, known as one of the largest industrial estates in Europe and a key regeneration area in the city.
-
B.
Royal Plaza
Royal Plaza is a historic public square in Bangkok, Thailand, known for its royal ceremonies and monuments near the Dusit Palace area.
-
C.
Palace Towers
Palace Towers is a section of the Prince's Palace of Monaco that forms part of the historic fortified residence of the Monegasque royal family.
-
D.
Langham Place
Langham Place is a major shopping and commercial complex in Hong Kong known for its large mall, office tower, and distinctive modern architecture.
-
E.
Langham Place
Langham Place is a short but prominent street in central London, known for landmarks such as the BBC’s Broadcasting House and the Langham Hotel.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd67a2481909d27a4a49b095f8c |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.