Triple
T1338435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OV-chipkaart |
E28408
|
entity |
| Predicate | hasValidityPeriodPersonalCard |
P27917
|
FINISHED |
| Object | 5 years |
—
|
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: 5 years | Statement: [OV-chipkaart, hasValidityPeriodPersonalCard, 5 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasValidityPeriodPersonalCard Context triple: [OV-chipkaart, hasValidityPeriodPersonalCard, 5 years]
-
A.
validityPeriodForAdults
Indicates the time span during which something is considered valid or applicable specifically for adults.
-
B.
validityPeriodForMinors
Indicates the time span during which something is considered valid specifically for minors.
-
C.
hasIdentityDocument
Indicates that an entity possesses or is associated with a specific identity document.
-
D.
eligibilityPeriod
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
-
E.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
- 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.