Triple
T14357719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hōfu |
E356013
|
entity |
| Predicate | hasRomanizedName |
P2508
|
FINISHED |
| Object |
Hōfu-shi
Hōfu-shi is a city in Yamaguchi Prefecture, Japan, known for its historic Hōfu Tenmangū Shrine and coastal location along the Seto Inland Sea.
|
E1287182
|
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: Hōfu-shi | Statement: [Hōfu, hasRomanizedName, Hōfu-shi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hōfu-shi Context triple: [Hōfu, hasRomanizedName, Hōfu-shi]
-
A.
Awaji City
Awaji City is a municipality located on Awaji Island in Hyōgo Prefecture, Japan, known for its scenic coastal landscapes, agriculture, and cultural heritage.
-
B.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
C.
Higashine City
Higashine City is a municipality in northeastern Japan known for its fruit production, especially cherries, and its scenic rural landscapes.
-
D.
Hadano City
Hadano City is a municipality in Kanagawa Prefecture, Japan, known for its natural scenery, including views of Mount Ōyama and surrounding mountainous landscapes.
-
E.
Nobeoka City
Nobeoka City is a coastal city in southeastern Kyushu, Japan, known for its chemical and electronics industries and scenic natural surroundings.
- 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: Hōfu-shi Triple: [Hōfu, hasRomanizedName, Hōfu-shi]
Generated description
Hōfu-shi is a city in Yamaguchi Prefecture, Japan, known for its historic Hōfu Tenmangū Shrine and coastal location along the Seto Inland Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hōfu-shi Target entity description: Hōfu-shi is a city in Yamaguchi Prefecture, Japan, known for its historic Hōfu Tenmangū Shrine and coastal location along the Seto Inland Sea.
-
A.
Awaji City
Awaji City is a municipality located on Awaji Island in Hyōgo Prefecture, Japan, known for its scenic coastal landscapes, agriculture, and cultural heritage.
-
B.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
C.
Higashine City
Higashine City is a municipality in northeastern Japan known for its fruit production, especially cherries, and its scenic rural landscapes.
-
D.
Hadano City
Hadano City is a municipality in Kanagawa Prefecture, Japan, known for its natural scenery, including views of Mount Ōyama and surrounding mountainous landscapes.
-
E.
Nobeoka City
Nobeoka City is a coastal city in southeastern Kyushu, Japan, known for its chemical and electronics industries and scenic natural surroundings.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ef9f91c0819080931a4f21546915 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f113a41c8190b17611eaa50516ca |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1e980f4819087eb191e13396581 |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 1:15 a.m.