Triple
T31329102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navigo fare system |
E798975
|
entity |
| Predicate | cardPersonalization |
P113857
|
FINISHED |
| Object | personalized with holder name and photo for some card types |
—
|
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: personalized with holder name and photo for some card types | Statement: [Navigo fare system, cardPersonalization, personalized with holder name and photo for some card types]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardPersonalization Context triple: [Navigo fare system, cardPersonalization, personalized with holder name and photo for some card types]
-
A.
personalizedCardSupports
Indicates that a personalized card is compatible with, or can be used in conjunction with, a particular system, service, or feature.
-
B.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
C.
cardDesignFeature
chosen
Indicates that a card possesses or incorporates a particular design feature or visual element.
-
D.
cardVariant
Indicates that one card is a specific version or variation of another base card.
-
E.
physicalCardColor
Indicates the relationship between a physical card and the color that characterizes its appearance.
- F. None of above.
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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69ede2ea48190999b3d041f7bf55e |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:16 p.m.