Triple
T9415367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurel station |
E227004
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | MARC Train |
E2774
|
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: MARC Train | Statement: [Laurel station, servedBy, MARC Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MARC Train Context triple: [Laurel station, servedBy, MARC Train]
-
A.
MARC Train
chosen
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
B.
Z train
The Z train is a New York City Subway rush-hour, skip-stop service that runs along the J line in Brooklyn and Queens, providing limited-stop service between Jamaica Center and lower Manhattan.
-
C.
MX3000 train
The MX3000 train is a modern electric multiple unit used as the primary passenger rolling stock on the Oslo Metro system in Norway.
-
D.
XPT train
The XPT train is a long-distance, high-speed diesel passenger train used in New South Wales, Australia, based on the British InterCity 125 design.
-
E.
Amtrak Genesis
Amtrak Genesis is a series of streamlined diesel-electric locomotives built by GE for Amtrak’s long-distance and intercity passenger trains across the United States.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107baad74819090a746c06feb28ac |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.