Triple
T5076541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westferry Circus |
E114410
|
entity |
| Predicate | positionRelativeToCanaryWharf |
P61278
|
FINISHED |
| Object | western side of Canary Wharf |
—
|
LITERAL 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: western side of Canary Wharf | Statement: [Westferry Circus, positionRelativeToCanaryWharf, western side of Canary Wharf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToCanaryWharf Context triple: [Westferry Circus, positionRelativeToCanaryWharf, western side of Canary Wharf]
-
A.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
B.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
C.
distanceToFolkestone
Indicates the spatial distance between a given location or entity and the town of Folkestone.
-
D.
servesCentralLondon
Indicates that something provides service or access specifically to the Central London area.
-
E.
distanceToGatwickAirport
Indicates the measured distance between a given entity’s location and Gatwick Airport.
- F. None of above. chosen
Provenance (4 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d3b0088190a658864cb120eef4 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73d90b608190bd6c2407e84e2b64 |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.