Triple
T16056115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannonzaki Lighthouse |
E389484
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Kannonzaki
Kannonzaki is a coastal area on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its scenic views of Tokyo Bay and historic maritime facilities.
|
E1299613
|
NE FINISHED |
How this triple was built (4 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: Kannonzaki | Statement: [Kannonzaki Lighthouse, locatedIn, Kannonzaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kannonzaki Context triple: [Kannonzaki Lighthouse, locatedIn, Kannonzaki]
-
A.
Kazuno
Kazuno is a city in northern Japan known for its hot springs, traditional festivals, and mountainous rural scenery.
-
B.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
C.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
D.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
E.
Kiyokawa
Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kannonzaki Triple: [Kannonzaki Lighthouse, locatedIn, Kannonzaki]
Generated description
Kannonzaki is a coastal area on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its scenic views of Tokyo Bay and historic maritime facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kannonzaki Target entity description: Kannonzaki is a coastal area on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its scenic views of Tokyo Bay and historic maritime facilities.
-
A.
Kazuno
Kazuno is a city in northern Japan known for its hot springs, traditional festivals, and mountainous rural scenery.
-
B.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
C.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
D.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
E.
Kiyokawa
Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
- F. None of above. chosen
Provenance (5 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183744eac8190946c12d58496bf61 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a033793575c8190be752006eedb383a |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033895a86c8190958ce991e6d8ee53 |
completed | May 12, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033cb498248190a3805cd356832cd0 |
completed | May 12, 2026, 2:44 p.m. |
Created at: April 10, 2026, 4:56 a.m.