Triple
T28990468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Public Transportation Card |
E736010
|
entity |
| Predicate | isPhysicalCard |
P90361
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shanghai Public Transportation Card, isPhysicalCard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPhysicalCard Context triple: [Shanghai Public Transportation Card, isPhysicalCard, true]
-
A.
hasPhysicalCard
chosen
Indicates that an entity possesses or is associated with a tangible, real-world card object.
-
B.
hasDigitalCard
Indicates that an entity possesses or is associated with a digital card (such as an electronic ID, membership, or payment card).
-
C.
physicalCardColor
Indicates the relationship between a physical card and the color that characterizes its appearance.
-
D.
physicalCardMaterial
Indicates the material substance from which a physical card is made.
-
E.
cardTypeAccess
Indicates that access or permissions are determined or constrained based on the type of card involved.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:24 a.m.