Triple
T19747601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay of Morlaix |
E474292
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Armorica |
—
|
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: Armorica | Statement: [Bay of Morlaix, region, Armorica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armorica Context triple: [Bay of Morlaix, region, Armorica]
-
A.
Armorica
chosen
Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
-
B.
Terra Cimmeria
Terra Cimmeria is a heavily cratered, ancient highland region in Mars’s southern hemisphere, notable for its rugged terrain and geological history.
-
C.
Frigia
Frigia is a frigid, ice-covered region on the planet Mongo in the Flash Gordon universe.
-
D.
Andalasia
Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
-
E.
Vetulonia
Vetulonia is an ancient Etruscan city in Tuscany, Italy, known for its rich archaeological remains and significant role in early Italic civilization.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.