Triple
T10932114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izu Peninsula |
E258232
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Higashiizu
Higashiizu is a coastal town in Shizuoka Prefecture, Japan, known for its hot springs, scenic Pacific shoreline, and views of the Izu Islands.
|
E1073965
|
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: Higashiizu | Statement: [Izu Peninsula, hasTown, Higashiizu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Higashiizu Context triple: [Izu Peninsula, hasTown, Higashiizu]
-
A.
Higashiura
Higashiura is a town in central Japan located within Aichi Prefecture, known as a residential community in the Chita Peninsula area.
-
B.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
C.
Tsuchiura
Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
-
D.
Higashi
Higashi is a residential and commercial neighborhood located in Tokyo's Shibuya ward.
-
E.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
- 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: Higashiizu Triple: [Izu Peninsula, hasTown, Higashiizu]
Generated description
Higashiizu is a coastal town in Shizuoka Prefecture, Japan, known for its hot springs, scenic Pacific shoreline, and views of the Izu Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Higashiizu Target entity description: Higashiizu is a coastal town in Shizuoka Prefecture, Japan, known for its hot springs, scenic Pacific shoreline, and views of the Izu Islands.
-
A.
Higashiura
Higashiura is a town in central Japan located within Aichi Prefecture, known as a residential community in the Chita Peninsula area.
-
B.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
C.
Tsuchiura
Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
-
D.
Higashi
Higashi is a residential and commercial neighborhood located in Tokyo's Shibuya ward.
-
E.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a062f481908beb76c6dbaeb6a6 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac706dc4819093f06b368f03fe02 |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbadb3dca08190a88376278c434fbf |
completed | May 6, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf91632c8190a956aa40c4ba335d |
completed | May 6, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:23 p.m.