Triple
T1932849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Silver Service |
E40984
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Silver Meteor |
E5634
|
NE 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: Silver Meteor | Statement: [Amtrak Silver Service, hasPart, Silver Meteor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Meteor Context triple: [Amtrak Silver Service, hasPart, Silver Meteor]
-
A.
Silver Meteor
chosen
The Silver Meteor is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City and Miami.
-
B.
Météores
Météores is one of the scientific essays by René Descartes, accompanying his Discours de la méthode and focusing on the study of meteorological and atmospheric phenomena.
-
C.
Silver Rays
Silver Rays is a mid-level class of decoration within Japan’s Order of the Sacred Treasure, awarded for distinguished service in various fields.
-
D.
Silver Lady
Silver Lady is a nostalgic nickname evoking the streamlined elegance and scenic luxury of the historic California Zephyr passenger train.
-
E.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb299f3c48190a5021d320ded4405 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f16d0c8190967862b68e6cc373 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.