Triple
T1153917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakayama Prefecture |
E23738
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kushimoto
Kushimoto is a coastal town at the southern tip of Japan’s Honshu island, known for its rugged Pacific shoreline, marine scenery, and role as a gateway to the Kumano region.
|
E217848
|
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: Kushimoto | Statement: [Wakayama Prefecture, contains, Kushimoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kushimoto Context triple: [Wakayama Prefecture, contains, Kushimoto]
-
A.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
B.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
C.
Ikoma
Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
-
D.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
E.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
- 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: Kushimoto Triple: [Wakayama Prefecture, contains, Kushimoto]
Generated description
Kushimoto is a coastal town at the southern tip of Japan’s Honshu island, known for its rugged Pacific shoreline, marine scenery, and role as a gateway to the Kumano region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kushimoto Target entity description: Kushimoto is a coastal town at the southern tip of Japan’s Honshu island, known for its rugged Pacific shoreline, marine scenery, and role as a gateway to the Kumano region.
-
A.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
B.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
C.
Ikoma
Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
-
D.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
E.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb8231ec81909d539f9bc2219619 |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfbf98f508190a237a2067bf0574f |
completed | March 8, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfc523d248190a1d748c7a9579d06 |
completed | March 8, 2026, 10:46 p.m. |
Created at: March 1, 2026, 7:44 p.m.