Triple
T825784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Meridian |
E17848
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | London Docklands |
E20245
|
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: London Docklands | Statement: [Prime Meridian, passesNear, London Docklands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Docklands Context triple: [Prime Meridian, passesNear, London Docklands]
-
A.
Eastern Docklands
Eastern Docklands is a redeveloped waterfront district in Amsterdam known for its modern architecture, residential complexes, and cultural venues built on former harbor and industrial land.
-
B.
Canary Wharf
chosen
Canary Wharf is a major business and financial district in East London known for its cluster of modern skyscrapers and corporate headquarters.
-
C.
Western Docklands
Western Docklands is a waterfront urban area in Amsterdam known for its redeveloped harbor basins, modern residential architecture, and proximity to the IJ Bay.
-
D.
London Docks
London Docks were a major 19th-century commercial dock complex in east London that played a key role in the city's maritime trade and industrial expansion.
-
E.
Waterside District
Waterside District is a waterfront dining, entertainment, and shopping destination located along the Elizabeth River in downtown Norfolk, Virginia.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab976094819086d676404d745750 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c714fc948190b84d34192b0064ff |
completed | March 4, 2026, 5:45 a.m. |
Created at: March 1, 2026, 7:38 p.m.