Triple
T13644866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mack Rides |
E326075
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Silver Star trains |
E43333
|
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 Star trains | Statement: [Mack Rides, notableWork, Silver Star trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Star trains Context triple: [Mack Rides, notableWork, Silver Star trains]
-
A.
Silver Star (train)
chosen
The Silver Star is an Amtrak long-distance passenger train that operates between New York City and Miami, serving major cities along the U.S. East Coast.
-
B.
Royal Blue passenger train
The Royal Blue passenger train was a famed luxury streamliner that provided premier passenger service between New York City and Washington, D.C. for the Baltimore and Ohio Railroad.
-
C.
MARC Train
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
D.
MP-68 trains
MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
-
E.
Auto Train
Auto Train is a long-distance Amtrak service that carries both passengers and their vehicles nonstop between the Washington, D.C. area and central Florida.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af948408190bca7f2e46863391e |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.