Triple
T54806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TriMet |
E1080
|
entity |
| Predicate | usesTicketingSystem |
P1740
|
FINISHED |
| Object | contactless smart 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: contactless smart card | Statement: [TriMet, usesTicketingSystem, contactless smart card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTicketingSystem Context triple: [TriMet, usesTicketingSystem, contactless smart card]
-
A.
usesNamingSystem
Indicates that one entity adopts or applies a particular naming system or convention to identify or label other entities.
-
B.
enteredService
Indicates that an entity began active use or operation at a specific time or in a specific context.
-
C.
usesCalendar
Indicates that an entity employs or relies on a calendar system for organizing, tracking, or scheduling dates and events.
-
D.
usedByPerson
Indicates that something (such as an object, tool, or resource) is utilized or employed by a person.
-
E.
fareControl
chosen
Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b3a9e848190b80de3c858678b3a |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ac52fb08190aa7c38f83434f795 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.