Triple
T9930073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amami Ōshima |
E192624
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Kasari
Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
|
E832814
|
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: Kasari | Statement: [Amami Ōshima, hasTown, Kasari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasari Context triple: [Amami Ōshima, hasTown, Kasari]
-
A.
Karu
Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
-
B.
Kasada
Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
-
C.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
D.
Kashshaya
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
-
E.
Kasagi
Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
- 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: Kasari Triple: [Amami Ōshima, hasTown, Kasari]
Generated description
Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasari Target entity description: Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
-
A.
Karu
Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
-
B.
Kasada
Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
-
C.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
D.
Kashshaya
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
-
E.
Kasagi
Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b4196881909a004091a4203c45 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d38c6748190a1c28c97f2a84f37 |
completed | April 5, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69d23eb1c1f481908404225dcccd0697 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d242aea6a08190a73a836e59865c35 |
completed | April 5, 2026, 11:08 a.m. |
Created at: March 30, 2026, 8:43 p.m.