Triple
T6411186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Acela |
E127707
|
entity |
| Predicate | offersQuietCarPolicy |
P70494
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Amtrak Acela, offersQuietCarPolicy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersQuietCarPolicy Context triple: [Amtrak Acela, offersQuietCarPolicy, yes]
-
A.
vehiclePolicy
Indicates a relationship where a policy governs, regulates, or defines rules and conditions for the use, operation, or management of a vehicle.
-
B.
farePolicySupport
Indicates that there is a policy in place governing fares (such as prices, discounts, or rules) that is recognized, enabled, or supported in the given context.
-
C.
venuePolicy
Indicates the rules or guidelines that govern how activities or events may be conducted at a particular venue.
-
D.
farePolicyRelatedTo
Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
-
E.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
- F. None of above. chosen
Provenance (4 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d0f2b88190af06c208d8c01d07 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:41 p.m.