Triple
T5083157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Metro line 50 |
E114571
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | OV-chipkaart |
E28408
|
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: OV-chipkaart | Statement: [Amsterdam Metro line 50, fareSystem, OV-chipkaart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OV-chipkaart Context triple: [Amsterdam Metro line 50, fareSystem, OV-chipkaart]
-
A.
OV-chipkaart
chosen
OV-chipkaart is the nationwide contactless smart card system used for paying public transport fares across the Netherlands.
-
B.
Bilhete Único smart card
The Bilhete Único smart card is São Paulo’s integrated public transport fare card, allowing seamless, discounted transfers across the city’s metro, bus, and train networks.
-
C.
OPUS card
The OPUS card is a reusable, contactless smart card used for public transit fare payment across the greater Montreal area and other regions in Quebec.
-
D.
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.
-
E.
Viva Viagem smart card
The Viva Viagem smart card is a rechargeable contactless travel card used for public transportation across the Lisbon metropolitan area, including metro, buses, trams, and some regional trains.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec360a5848190a243da780b53559c |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:39 p.m.