Triple
T2765252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowdon |
E61320
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Anglesey |
E42894
|
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: Anglesey | Statement: [Snowdon, hasViewOf, Anglesey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anglesey Context triple: [Snowdon, hasViewOf, Anglesey]
-
A.
Anglesey
chosen
Anglesey is a large island off the northwest coast of Wales, known for its scenic coastline, historic sites, and role as a major cultural and agricultural region.
-
B.
Penrhyn Island
Penrhyn Island is a remote coral atoll in the northern Cook Islands, known for its large lagoon, traditional Polynesian culture, and small, isolated communities.
-
C.
Llyn Peninsula
The Llyn Peninsula is a scenic, largely rural headland in northwest Wales known for its rugged coastline, sandy beaches, and strong Welsh-speaking culture.
-
D.
Meirionnydd
Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
-
E.
Fyn
Fyn is a large Danish island in the Baltic Sea known for its rolling countryside, historic towns, and as the birthplace of author Hans Christian Andersen.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd55a96c8190a109a1f0e8752477 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc048bc8481908a6f70e034167c2a |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.