Triple
T19288835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canary Wharf station |
E482384
|
entity |
| Predicate | hasTicketingSystem |
P3383
|
FINISHED |
| Object | Oyster |
—
|
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: Oyster | Statement: [Canary Wharf station, hasTicketingSystem, Oyster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyster Context triple: [Canary Wharf station, hasTicketingSystem, Oyster]
-
A.
Oyster
chosen
Oyster is a contactless smartcard used for paying fares on public transport in London.
-
B.
Oyster
"Oyster" is a 1994 alternative rock album by Bermudian singer-songwriter Heather Nova, known for its atmospheric sound and emotive vocals.
-
C.
Mussende
Mussende is a municipality located in Angola’s Cuanza Sul Province.
-
D.
Ostrearia
Ostrearia is a genus of flowering plants in the witch-hazel family Hamamelidaceae, known for its woody species found in parts of Asia.
-
E.
Mejillones
Mejillones is a coastal Chilean port city on the Pacific Ocean, known for its fishing industry and role in regional maritime trade.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.