Triple
T1791800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travel Wallet |
E39511
|
entity |
| Predicate | targetUserType |
P10541
|
FINISHED |
| Object | riders who do not need an unlimited pass |
—
|
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: riders who do not need an unlimited pass | Statement: [Travel Wallet, targetUserType, riders who do not need an unlimited pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetUserType Context triple: [Travel Wallet, targetUserType, riders who do not need an unlimited pass]
-
A.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
B.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
C.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
D.
targetsGroup
chosen
Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
-
E.
traditionalUser
Indicates that a user engages with or is characterized by conventional, established, or customary practices, behaviors, or methods.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.