Triple
T22572733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiki Depot |
E558115
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shiki, Saitama |
—
|
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: Shiki, Saitama | Statement: [Shiki Depot, locatedIn, Shiki, Saitama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiki, Saitama Context triple: [Shiki Depot, locatedIn, Shiki, Saitama]
-
A.
Shiki, Saitama
chosen
Shiki, Saitama is a city in Saitama Prefecture, Japan, known as a residential suburb within the Greater Tokyo metropolitan area.
-
B.
Saikai
Saikai is a coastal city in western Japan known for its scenic islands, inlets, and marine landscapes within Nagasaki Prefecture.
-
C.
Shiki
Shiki was the pen name of Masaoka Shiki, a pioneering Meiji-era Japanese poet and critic who modernized haiku and tanka.
-
D.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
-
E.
Shikinaisha
Shikinaisha are Shinto shrines listed in the ancient Engishiki regulations, regarded as especially important regional sanctuaries in Japan.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:52 p.m.