Triple
T9209933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagasaki Prefecture |
E221086
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
|
E861192
|
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: Omura | Statement: [Nagasaki Prefecture, hasCity, Omura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omura Context triple: [Nagasaki Prefecture, hasCity, Omura]
-
A.
Omishima
Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
-
B.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
C.
Mutaguchi
Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
-
D.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
-
E.
Takashima
Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
- 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: Omura Triple: [Nagasaki Prefecture, hasCity, Omura]
Generated description
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Omura Target entity description: Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
-
A.
Omishima
Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
-
B.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
C.
Mutaguchi
Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
-
D.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
-
E.
Takashima
Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7faf8c1048190a136289a44a0930b |
completed | April 9, 2026, 7:16 p.m. |
| NEDg | Description generation | batch_69d81c40dc6081908cc186ee6cd0814e |
completed | April 9, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8277fbf0881908a1e16d6c07886e6 |
completed | April 9, 2026, 10:26 p.m. |
Created at: March 30, 2026, 7:26 p.m.