Triple
T11089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Metro |
E225
|
entity |
| Predicate | connectsTo |
P845
|
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: [Washington Metro, connectsTo, MARC Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MARC Train Context triple: [Washington Metro, connectsTo, 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.
AeroTrain
AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
-
C.
Amtrak
Amtrak is the United States’ national passenger railroad service, operating intercity and long-distance trains across much of the country.
-
D.
GG1 electric locomotive
The GG1 electric locomotive was a streamlined, high-speed electric locomotive class that became an iconic workhorse of American railroading, particularly in the Northeast corridor, during much of the 20th century.
-
E.
Portland Streetcar
Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a2465b2cf881908bf61c461e04cf6a |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25aadb9ac8190b35b13454e86df76 |
completed | Feb. 28, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.