Triple
T18380931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Myogi |
E446441
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Annaka |
—
|
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: Annaka | Statement: [Mount Myogi, locatedNear, Annaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annaka Context triple: [Mount Myogi, locatedNear, Annaka]
-
A.
Annaka
chosen
Annaka is a city in Gunma Prefecture, Japan, known for its proximity to the active volcano Mount Asama and its location along key historical travel routes.
-
B.
Akrar
Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
-
C.
Arka
Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
-
D.
Aizanoi
Aizanoi is an ancient Phrygian city in modern-day Turkey, best known for its well-preserved Temple of Zeus and extensive Roman ruins.
-
E.
Ajina
Ajina was a champion American Thoroughbred racehorse best known for winning major Grade 1 stakes races in the mid-1990s.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179aa328819097f5ed8193cfa401 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.