Triple
T696011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimson Peak |
E13894
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Cumberland, England |
E91130
|
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, England | Statement: [Crimson Peak, setting, Cumberland, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumberland, England Context triple: [Crimson Peak, setting, Cumberland, England]
-
A.
Durham, England
Durham, England is a historic cathedral city in northeast England known for its Norman architecture, including Durham Cathedral and Castle, and as a prominent university center.
-
B.
Westmorland, England
chosen
Westmorland, England is a historic county in northwestern England known for its rural landscapes and parts of the Lake District.
-
C.
Norfolk, England
Norfolk, England is a largely rural county in East Anglia known for its flat landscapes, the Norfolk Broads waterways, and the historic city of Norwich.
-
D.
Falmouth, England
Falmouth, England is a historic port town in Cornwall known for its deep natural harbor and long maritime and naval heritage.
-
E.
Suffolk, England
Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c5f51c8190acc4915099e4b384 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733031bc8190bbb0cd733ae023e9 |
completed | March 3, 2026, 5:35 a.m. |
Created at: March 1, 2026, 7:36 p.m.