Triple
T474808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Underground |
E9036
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object |
Oyster card
The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
|
E60075
|
NE FINISHED |
How this triple was built (4 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 card | Statement: [London Underground, fareSystem, Oyster card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyster card Context triple: [London Underground, fareSystem, Oyster card]
-
A.
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.
-
B.
MetroCard
MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
-
C.
TAP card
The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
-
D.
SmarTrip
SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
-
E.
Travelcard
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oyster card Triple: [London Underground, fareSystem, Oyster card]
Generated description
The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oyster card Target entity description: The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
-
A.
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.
-
B.
MetroCard
MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
-
C.
TAP card
The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
-
D.
SmarTrip
SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
-
E.
Travelcard
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.
- F. None of above. chosen
Provenance (5 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f039f3d88190a7c93ecbf1bf5f58 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c5d827c8190b620958383d23f41 |
completed | March 1, 2026, 4:42 p.m. |
| NEDg | Description generation | batch_69a46cc892308190907a09fd3ca2cfc4 |
completed | March 1, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a46d11a6288190ac9cbd0d50b95421 |
completed | March 1, 2026, 4:45 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.