Triple
T10529966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaguchi Prefecture |
E248411
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ube
Ube is an industrial city in western Japan known for its chemical industry, cement production, and efforts to improve its environment and urban landscape.
|
E869652
|
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: Ube | Statement: [Yamaguchi Prefecture, hasCity, Ube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ube Context triple: [Yamaguchi Prefecture, hasCity, Ube]
-
A.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
-
B.
Taro
The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po River.
-
C.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
D.
Wasabi
Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
-
E.
Yam
Yam is the ancient Canaanite and Phoenician god of the sea, often depicted as a primordial chaos deity and rival of the storm god Baal.
- 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: Ube Triple: [Yamaguchi Prefecture, hasCity, Ube]
Generated description
Ube is an industrial city in western Japan known for its chemical industry, cement production, and efforts to improve its environment and urban landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ube Target entity description: Ube is an industrial city in western Japan known for its chemical industry, cement production, and efforts to improve its environment and urban landscape.
-
A.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
-
B.
Taro
The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po River.
-
C.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
D.
Wasabi
Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
-
E.
Yam
Yam is the ancient Canaanite and Phoenician god of the sea, often depicted as a primordial chaos deity and rival of the storm god Baal.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e3caf4c8190b19199f1a68a00de |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:30 p.m.