Triple
T16537678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yūbari River |
E401734
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Yūbari
Yūbari is a city in Hokkaido, Japan, historically known for its coal mining industry and famous Yubari King melons.
|
E1535642
|
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: Yūbari | Statement: [Yūbari River, namedAfter, Yūbari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yūbari Context triple: [Yūbari River, namedAfter, Yūbari]
-
A.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
-
B.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
C.
Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
-
D.
Yonezawa
Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
-
E.
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
- 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: Yūbari Triple: [Yūbari River, namedAfter, Yūbari]
Generated description
Yūbari is a city in Hokkaido, Japan, historically known for its coal mining industry and famous Yubari King melons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yūbari Target entity description: Yūbari is a city in Hokkaido, Japan, historically known for its coal mining industry and famous Yubari King melons.
-
A.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
-
B.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
C.
Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
-
D.
Yonezawa
Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
-
E.
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34559ca948190a9eb810b9b3be079 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0c3ccc0819089f78016552e8553 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af24f7d748190a1bcff53ba987dc7 |
completed | May 18, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af2e63a748190bb9743841a3c9f73 |
completed | May 18, 2026, 11:07 a.m. |
Created at: April 10, 2026, 5:15 a.m.