Triple
T17046648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Annecy-2 |
E413587
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Argonay |
E1235460
|
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: Argonay | Statement: [Canton of Annecy-2, contains, Argonay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argonay Context triple: [Canton of Annecy-2, contains, Argonay]
-
A.
Argonay
chosen
Argonay is a small commune in southeastern France’s Haute-Savoie department, situated near the city of Annecy in the Auvergne-Rhône-Alpes region.
-
B.
Argoon
Argoon is a rural locality situated within the Banana Shire region of Queensland, Australia.
-
C.
Argyron
Argyron is one of the Telchines, mythical craftsmen and sorcerers from Greek mythology associated with metalworking and magical arts.
-
D.
Arcalod
Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
-
E.
Boralus
Boralus is the bustling maritime capital of the island nation of Kul Tiras in the World of Warcraft universe, serving as a major Alliance hub and naval stronghold.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9e3d8881909f197aba0e4c97e7 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233fb8d88190a9a6ef6a2f19a499 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.