Triple
T1741443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipper card |
E38241
|
entity |
| Predicate | replaces |
P101
|
FINISHED |
| Object |
TransLink card
The TransLink card was a contactless smart card used for fare payment on public transit systems in the San Francisco Bay Area before being succeeded by the Clipper card.
|
E193026
|
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: TransLink card | Statement: [Clipper card, replaces, TransLink card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TransLink card Context triple: [Clipper card, replaces, TransLink 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.
Opal card
The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
-
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.
Myki
Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
-
E.
Oyster card
The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
- 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: TransLink card Triple: [Clipper card, replaces, TransLink card]
Generated description
The TransLink card was a contactless smart card used for fare payment on public transit systems in the San Francisco Bay Area before being succeeded by the Clipper card.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TransLink card Target entity description: The TransLink card was a contactless smart card used for fare payment on public transit systems in the San Francisco Bay Area before being succeeded by the Clipper 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.
Opal card
The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
-
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.
Myki
Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
-
E.
Oyster card
The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c6d21c8190809bedaa798e2b14 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b060d64819096ba0522ccce9145 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957f64c48190862a701a94098bbf |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b974708190adfffebee41a6fcd |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.