Triple
T876773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Metro |
E18934
|
entity |
| Predicate | ticketMedium |
P9955
|
FINISHED |
| Object |
Navegante card
The Navegante card is a rechargeable contactless smart card used for public transport fares in the Lisbon metropolitan area.
|
E104063
|
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: Navegante card | Statement: [Lisbon Metro, ticketMedium, Navegante card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navegante card Context triple: [Lisbon Metro, ticketMedium, Navegante card]
-
A.
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.
-
B.
Nol card
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.
-
C.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
D.
Card
Card is a surname most notably borne by Andrew Card, a former White House Chief of Staff under U.S. President George W. Bush.
-
E.
Nav
Nav is a Canadian rapper, singer, songwriter, and record producer known for his melodic trap sound and collaborations with prominent hip-hop artists.
- 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: Navegante card Triple: [Lisbon Metro, ticketMedium, Navegante card]
Generated description
The Navegante card is a rechargeable contactless smart card used for public transport fares in the Lisbon metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navegante card Target entity description: The Navegante card is a rechargeable contactless smart card used for public transport fares in the Lisbon metropolitan area.
-
A.
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.
-
B.
Nol card
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.
-
C.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
D.
Card
Card is a surname most notably borne by Andrew Card, a former White House Chief of Staff under U.S. President George W. Bush.
-
E.
Nav
Nav is a Canadian rapper, singer, songwriter, and record producer known for his melodic trap sound and collaborations with prominent hip-hop artists.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b8063081909566c404ca63a29e |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b854469c81908dc4a5c29ee140a4 |
completed | March 4, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a7b985298c8190b465ce0589cd2c24 |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba46a2ec8190892404cb1f259cf0 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.