Triple
T1338420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OV-chipkaart |
E28408
|
entity |
| Predicate | hasMinimumBalanceForBusTramMetro |
P27913
|
FINISHED |
| Object | 4 euro |
—
|
LITERAL 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: 4 euro | Statement: [OV-chipkaart, hasMinimumBalanceForBusTramMetro, 4 euro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimumBalanceForBusTramMetro Context triple: [OV-chipkaart, hasMinimumBalanceForBusTramMetro, 4 euro]
-
A.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
C.
usesFareMedium
Indicates that an entity employs a particular fare medium (such as a ticket, card, or pass) as the method of payment or validation for a trip or service.
-
D.
hasPublicTransportUsage
Indicates that an entity makes use of, or is associated with the use of, public transportation services.
-
E.
hasTransportAuthority
Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
- F. None of above. chosen
Provenance (4 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c1bf31988190a659f48fe018f4bc |
completed | March 1, 2026, 10:46 p.m. |
Created at: March 1, 2026, 7:56 p.m.