Triple
T54406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak |
E1072
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Amtrak |
E1072
|
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: Amtrak | Statement: [Amtrak, shortName, Amtrak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amtrak Context triple: [Amtrak, shortName, Amtrak]
-
A.
Amtrak
chosen
Amtrak is the United States’ national passenger railroad service, operating intercity and long-distance trains across much of the country.
-
B.
Amtrak Empire Corridor
The Amtrak Empire Corridor is a major passenger rail route in New York State that connects New York City with Albany and other upstate cities along the Hudson River and beyond.
-
C.
Norfolk Southern Railway
Norfolk Southern Railway is a major U.S. freight railroad company operating an extensive rail network across the eastern United States.
-
D.
CSX Transportation
CSX Transportation is a major U.S. freight railroad company operating an extensive rail network across the eastern United States.
-
E.
BNSF Railway
BNSF Railway is one of the largest freight railroad networks in North America, operating an extensive system that spans the United States and parts of Canada and Mexico.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b06c5488190afb5429a7999e3f3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2981ccdc0819093346109c126ea96 |
completed | Feb. 28, 2026, 7:24 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.