Triple
T19676356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omitama |
E472461
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Mito |
—
|
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: Mito | Statement: [Omitama, locatedNear, Mito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mito Context triple: [Omitama, locatedNear, Mito]
-
A.
Mito
chosen
Mito is the capital city of Ibaraki Prefecture in Japan’s Kantō region, known for its historic Kairakuen Garden and cultural heritage.
-
B.
Mounichion
Mounichion was an ancient Athenian month in the Attic calendar, roughly corresponding to parts of April and May, associated with various religious festivals and seasonal observances.
-
C.
Mijas
Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
-
D.
Eusa
Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
-
E.
Mitino
Mitino is a Moscow Metro station serving the Mitino District in the northwestern part of the city.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bbea8c8190b0ad841d95068e0e |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.