Triple
T306858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Key |
E6321
|
entity |
| Predicate | hasPhysicalForm |
P9336
|
FINISHED |
| Object | plastic contactless card |
—
|
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: plastic contactless card | Statement: [SEPTA Key, hasPhysicalForm, plastic contactless card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalForm Context triple: [SEPTA Key, hasPhysicalForm, plastic contactless card]
-
A.
hasDigitalForm
Indicates that something exists or is available in a digital or electronic format.
-
B.
hasFormFactor
chosen
Indicates that one entity possesses or is characterized by a particular physical or structural form factor defined by another entity.
-
C.
hasRetailFormat
Indicates that one entity operates or is organized according to a particular retail format or store type.
-
D.
hasPublishingFormat
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
-
E.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea313be88190b4441f3ea41a99e2 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.