Triple
T35800419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak routes |
E1034959
|
entity |
| Predicate | partiallyServesCountry |
P104635
|
FINISHED |
| Object | Canada |
—
|
NE NERFINISHED |
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: Canada | Statement: [Amtrak routes, partiallyServesCountry, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyServesCountry Context triple: [Amtrak routes, partiallyServesCountry, Canada]
-
A.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
B.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
C.
destinationCountryServed
chosen
Indicates that a given entity (such as a service, route, or provider) serves or operates to a specified destination country.
-
D.
partlyServedBy
Indicates that an entity is only partially provided, covered, or supported by another entity, rather than being fully served by it.
-
E.
servesPartOf
Indicates that one entity functions as a service or provider that operates within, or as a component of, another larger system or context.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:06 p.m.