Triple
T137410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Metropolitan Area Transit Authority |
E2776
|
entity |
| Predicate | manages |
P86
|
FINISHED |
| Object | Metrorail |
E225
|
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: Metrorail | Statement: [Washington Metropolitan Area Transit Authority, manages, Metrorail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metrorail Context triple: [Washington Metropolitan Area Transit Authority, manages, Metrorail]
-
A.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
B.
Metro A Line
The Metro A Line is a light rail line in Los Angeles County that runs between downtown Los Angeles and Long Beach as part of the region’s Metro Rail system.
-
C.
Metra
Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
-
D.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
E.
Washington Metro
chosen
Washington Metro is the rapid transit system serving the Washington, D.C. metropolitan area, known for its extensive rail network connecting the city with its suburbs in Maryland and Virginia.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a6cab88190944c8f74d8d1605c |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d4dade1081909c73e2bbd9d99455 |
completed | March 1, 2026, 5:55 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.