Triple
T9450162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōita Prefecture |
E227866
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hiji
Hiji is a coastal town in Japan known for its location in Ōita Prefecture on the island of Kyushu.
|
E799517
|
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: Hiji | Statement: [Ōita Prefecture, contains, Hiji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiji Context triple: [Ōita Prefecture, contains, Hiji]
-
A.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
B.
Hien
Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
-
C.
Hiaki
Hiaki is the endonym used by the Yaqui people to refer to themselves and their language, an Indigenous group primarily from the Sonoran region of Mexico and the southwestern United States.
-
D.
Haisyn
Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
-
E.
Hīt
Hīt is an ancient town in central Iraq, historically known for its bitumen springs and strategic location along the Euphrates River.
- 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: Hiji Triple: [Ōita Prefecture, contains, Hiji]
Generated description
Hiji is a coastal town in Japan known for its location in Ōita Prefecture on the island of Kyushu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiji Target entity description: Hiji is a coastal town in Japan known for its location in Ōita Prefecture on the island of Kyushu.
-
A.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
B.
Hien
Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
-
C.
Hiaki
Hiaki is the endonym used by the Yaqui people to refer to themselves and their language, an Indigenous group primarily from the Sonoran region of Mexico and the southwestern United States.
-
D.
Haisyn
Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
-
E.
Hīt
Hīt is an ancient town in central Iraq, historically known for its bitumen springs and strategic location along the Euphrates River.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6649a48190b6844daa6202efe5 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11070e91c8190bd793126049ead27 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d111113c5c81909ff654734b211753 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111ab40a48190bb77c1cf80ef87a8 |
completed | April 4, 2026, 1:27 p.m. |
Created at: March 30, 2026, 7:51 p.m.