Triple
T19715838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Green |
E473473
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Millbank |
—
|
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: Millbank | Statement: [College Green, adjacentTo, Millbank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millbank Context triple: [College Green, adjacentTo, Millbank]
-
A.
Millbank
chosen
Millbank is a riverside area in central London known for its government buildings, art institutions like Tate Britain, and proximity to the Houses of Parliament.
-
B.
Wellbank
Wellbank is a small rural village in the Angus council area of eastern Scotland.
-
C.
Milldown
Milldown is a notable summit in the Rhinns of Kells range in the Galloway Hills of southwest Scotland, popular with hillwalkers for its rounded grassy slopes and expansive views.
-
D.
Millbank Tower
Millbank Tower is a prominent 1960s modernist skyscraper on the River Thames in London, known for its former use as office space for major political parties and organizations.
-
E.
Briggate
Briggate is one of the main historic shopping streets in Leeds city centre, known for its major retail stores and pedestrian-friendly layout.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440cb47c81908124dfbd6f781d23 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.