Triple
T17662834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOE station |
E440294
|
entity |
| Predicate | hasTicketingSystem |
P3383
|
FINISHED |
| Object | Nol card |
—
|
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: Nol card | Statement: [MOE station, hasTicketingSystem, Nol card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nol card Context triple: [MOE station, hasTicketingSystem, Nol card]
-
A.
Nol card
chosen
The Nol card is a rechargeable smart card used for paying fares across Dubai’s public transportation network, including metro, buses, trams, and water buses.
-
B.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
C.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
D.
Nol Gold Card
Nol Gold Card is a rechargeable smart card used for paying fares on public transport and related services in Dubai, offering added flexibility and benefits compared to standard Nol cards.
-
E.
Nol Silver Card
Nol Silver Card is a rechargeable smart card used for convenient, discounted fare payment across public transportation services in Dubai.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:51 a.m.