Triple
T21851381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matterdale |
E539511
|
entity |
| Predicate | traditionalCounty |
P2713
|
FINISHED |
| Object | Cumberland |
—
|
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: Cumberland | Statement: [Matterdale, traditionalCounty, Cumberland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumberland Context triple: [Matterdale, traditionalCounty, Cumberland]
-
A.
Cumberland
Cumberland is a small town that forms part of the suburban communities within the Indianapolis metropolitan area in Indiana.
-
B.
Cumberland
Cumberland is a historic city in western Maryland known as a key transportation hub and gateway to the Appalachian Mountains and regional rail-trail networks.
-
C.
Cumberland
Cumberland is a small community located within Russell County in the U.S. state of Virginia.
-
D.
Cumberland
chosen
Cumberland is a historic county in northwestern England, bordering Scotland and encompassing part of the Lake District.
-
E.
Cumberland
Cumberland is a local government area in Western Sydney, Australia, encompassing a mix of residential, commercial, and industrial suburbs.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5904108190af67609a9ab8616e |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:56 p.m.