Triple
T16428882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beppu Tower |
E399017
|
entity |
| Predicate | hasViewDirection |
P854
|
FINISHED |
| Object | Beppu Bay |
E405671
|
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: Beppu Bay | Statement: [Beppu Tower, hasViewDirection, Beppu Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beppu Bay Context triple: [Beppu Tower, hasViewDirection, Beppu Bay]
-
A.
Beppu Bay
chosen
Beppu Bay is a coastal bay in Ōita Prefecture on Japan’s Kyushu Island, known for its scenic shoreline and proximity to the hot spring resort city of Beppu.
-
B.
Itoshima Bay
Itoshima Bay is a coastal bay in Fukuoka Prefecture, Japan, known for its scenic beaches, seaside cafes, and popular sunset views along the Genkai Sea.
-
C.
Kagoshima Bay
Kagoshima Bay is a large, active-volcanic bay in southern Kyushu, Japan, known for its scenic coastline and the prominent Sakurajima volcano rising from its waters.
-
D.
Ryōtsu Bay
Ryōtsu Bay is a coastal inlet on Sado Island in Niigata Prefecture, Japan, known for its scenic harbor and role as a local fishing and ferry port.
-
E.
Omura Bay
Omura Bay is a sheltered, almost landlocked bay in Nagasaki Prefecture, Japan, known for its calm waters, aquaculture, and scenic coastal landscapes.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fd49708190abb5065fa430eff1 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ecfd99c8190a4375a0f62aa50d1 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:09 a.m.