Triple
T14964369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izuhara Port |
E373150
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Izuhara |
—
|
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: Izuhara | Statement: [Izuhara Port, locatedIn, Izuhara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izuhara Context triple: [Izuhara Port, locatedIn, Izuhara]
-
A.
Izuhara
chosen
Izuhara is the main town and administrative center of Tsushima Island in Nagasaki Prefecture, Japan.
-
B.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
C.
Isehara
Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
-
D.
Ichihara
Ichihara is a coastal industrial city in Chiba Prefecture, Japan, known for its large petrochemical complexes and proximity to Tokyo Bay.
-
E.
Hinohara
Hinohara is a rural village in western Tokyo, Japan, known for its mountainous terrain, forests, and outdoor recreation areas.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
Created at: April 10, 2026, 2:45 a.m.