Triple
T2310522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EUS |
E51945
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object | Travelcard Zone 1 |
E59709
|
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: Travelcard Zone 1 | Statement: [EUS, fareZone, Travelcard Zone 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travelcard Zone 1 Context triple: [EUS, fareZone, Travelcard Zone 1]
-
A.
Oyster card
The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
-
B.
Travelcard
chosen
Travelcard is a ticketing product used across London’s public transport network, allowing unlimited travel within selected zones on services such as the Underground, buses, and trains.
-
C.
London fare zone 4
London fare zone 4 is a mid-range public transport tariff zone in Greater London used to calculate fares on services such as the Underground, Overground, and National Rail.
-
D.
Transit Access Pass
Transit Access Pass is a reusable smart fare card used for paying transit fares across participating public transportation systems.
-
E.
ORCA card
The ORCA card is a reusable, contactless smart card used to pay fares across multiple public transit systems in the Puget Sound region of Washington State.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc6098ce88190ba2e987e6f0737ac |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8959d860819095ea3113e3d9264e |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.