Triple
T14830879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Terror |
E348698
|
entity |
| Predicate | builtIn |
P8585
|
FINISHED |
| Object | Devon |
E100074
|
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: Devon | Statement: [HMS Terror, builtIn, Devon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devon Context triple: [HMS Terror, builtIn, Devon]
-
A.
Devon
chosen
Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
-
B.
Devon
Devon is a residential neighbourhood located within the city of Fredericton in New Brunswick, Canada.
-
C.
Devon
Devon is a suburban community on the Philadelphia Main Line in Pennsylvania, best known for hosting the historic Devon Horse Show and Country Fair.
-
D.
Devon
Devon is the central protagonist of the 1970s Canadian science fiction television series "The Starlost," who discovers the truth about his generation starship and seeks to save its inhabitants.
-
E.
Dorset
Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a347808190a72dfd3a1b776982 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:52 a.m.