Triple
T16008356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharpe family |
E388274
|
entity |
| Predicate | locatedInFictionalSetting |
P21117
|
FINISHED |
| Object | Cumberland |
unclear NED1
|
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: Cumberland | Statement: [Sharpe family, locatedInFictionalSetting, Cumberland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumberland Context triple: [Sharpe family, locatedInFictionalSetting, Cumberland]
-
A.
Cumberland
Cumberland is a suburban town in northeastern Rhode Island known for its residential communities, historic mill villages, and proximity to Providence.
-
B.
Cumberland
Cumberland is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side and nearby suburbs.
-
C.
Cumberland
Cumberland is a small town that forms part of the suburban communities within the Indianapolis metropolitan area in Indiana.
-
D.
Cumberland
Cumberland is a small village and former coal-mining community in British Columbia, Canada, known for its rich labour history and proximity to outdoor recreation on Vancouver Island.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcc12dc8190a80d776b63a6ad35 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.