Triple
T38626202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA tokens |
E937016
|
entity |
| Predicate | fareMediumGeneration |
P39015
|
FINISHED |
| Object | pre-smartcard |
—
|
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: pre-smartcard | Statement: [MBTA tokens, fareMediumGeneration, pre-smartcard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareMediumGeneration Context triple: [MBTA tokens, fareMediumGeneration, pre-smartcard]
-
A.
generationOf
chosen
Indicates that one entity is the origin, creator, or producer of another entity.
-
B.
laterGenerationOf
Indicates that one entity belongs to a generation that comes chronologically after the generation of another entity.
-
C.
designatesGenerationOf
Indicates that one entity formally assigns or specifies another entity as the generation or creation of something (e.g., a document, product, or version).
-
D.
partOfGeneration
Indicates that one entity is a component, member, or subset of a particular generation or generational group associated with another entity.
-
E.
liftGeneration
Indicates that one entity produces or contributes to the creation of lift for another entity or system.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.