Triple
T11014612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRT Ampang Line |
E260330
|
entity |
| Predicate | fareMedium |
P1303
|
FINISHED |
| Object | Touch 'n Go card |
E842367
|
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: Touch 'n Go card | Statement: [LRT Ampang Line, fareMedium, Touch 'n Go card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Touch 'n Go card Context triple: [LRT Ampang Line, fareMedium, Touch 'n Go card]
-
A.
Touch 'n Go
chosen
Touch 'n Go is a Malaysian contactless smart card payment system widely used for public transportation fares, tolls, and various retail transactions.
-
B.
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.
-
C.
Presto card
The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
-
D.
Opal card
The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
-
E.
T-Money
T-Money is a television personality and DJ best known for co-hosting the influential hip-hop music video show "Yo! MTV Raps."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374c238ac81908e0a5eff958d6545 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.