Triple
T36293985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Silver Star |
E893306
|
entity |
| Predicate | usesElectricTraction |
P185108
|
FINISHED |
| Object | between Washington and New York |
—
|
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: between Washington and New York | Statement: [Amtrak Silver Star, usesElectricTraction, between Washington and New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesElectricTraction Context triple: [Amtrak Silver Star, usesElectricTraction, between Washington and New York]
-
A.
isElectrically
Indicates that one entity has an electrical property, connection, or interaction in relation to another entity.
-
B.
hasElectricMotor
Indicates that an entity is equipped with, contains, or uses an electric motor as part of its operation or structure.
-
C.
canDriveOnElectricPowerOnly
Indicates that the subject is capable of operating solely using electric power, without relying on any other energy source.
-
D.
electrificationCompatibility
Indicates whether one entity can be effectively and safely powered, charged, or operated using the electrical system, standards, or infrastructure associated with another entity.
-
E.
hasElectricCarts
Indicates that an entity provides or uses electric carts, typically for transportation or logistical purposes.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.