Triple
T19682233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Orange Line |
E472621
|
entity |
| Predicate | servesState |
P82
|
FINISHED |
| Object | Maryland |
—
|
NE NERFINISHED |
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: Maryland | Statement: [Metro Orange Line, servesState, Maryland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maryland Context triple: [Metro Orange Line, servesState, Maryland]
-
A.
Maryland
chosen
Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
-
B.
Maryland
Maryland is a small village in Otsego County, New York, known primarily as a rural residential community in the central part of the state.
-
C.
Maryland
Maryland is a mixed residential and commercial neighborhood in Lagos, Nigeria, known for its strategic location, busy traffic junctions, and proximity to major business and transport hubs.
-
D.
Maryland and Delaware
Maryland and Delaware are two neighboring Mid-Atlantic U.S. states on the East Coast, known respectively for the Chesapeake Bay and the city of Baltimore, and for its Atlantic beaches and role as the nation’s first state to ratify the Constitution.
-
E.
Virginia
Virginia is a gold mining town in South Africa’s Free State province, known for its role in the region’s mining industry and its location near the Sand River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641c05964819093d3124b8f174001 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.