Triple
T8865549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minami-ku, Sapporo |
E211008
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Hayakita
Hayakita is a town in Hokkaido, Japan, known as a small rural community situated near the city of Sapporo.
|
E849097
|
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: Hayakita | Statement: [Minami-ku, Sapporo, hasBorderWith, Hayakita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayakita Context triple: [Minami-ku, Sapporo, hasBorderWith, Hayakita]
-
A.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
B.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
-
C.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
D.
Ichigaya
Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
-
E.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
- 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: Hayakita Triple: [Minami-ku, Sapporo, hasBorderWith, Hayakita]
Generated description
Hayakita is a town in Hokkaido, Japan, known as a small rural community situated near the city of Sapporo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hayakita Target entity description: Hayakita is a town in Hokkaido, Japan, known as a small rural community situated near the city of Sapporo.
-
A.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
B.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
-
C.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
D.
Ichigaya
Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
-
E.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6106d41081909db710bda8aaf6fd |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d59af45f2881908516277f7f625131 |
completed | April 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69d59b92767481908c82ba1f804dcbe2 |
completed | April 8, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d59c00773081909ac8ef13dc901bfc |
completed | April 8, 2026, 12:06 a.m. |
Created at: March 30, 2026, 6:51 p.m.