Triple
T8782794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moerenuma Park |
E208772
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sakura Forest
Sakura Forest is a cherry blossom grove within Sapporo’s Moerenuma Park, known for its seasonal displays of sakura trees that attract visitors for hanami (flower viewing).
|
E756544
|
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: Sakura Forest | Statement: [Moerenuma Park, hasPart, Sakura Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakura Forest Context triple: [Moerenuma Park, hasPart, Sakura Forest]
-
A.
Midorigaoka
Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
-
B.
Nagareyama
Nagareyama is a city in Chiba Prefecture, Japan, known as a residential suburb of the Tokyo metropolitan area with growing commuter access and family-oriented neighborhoods.
-
C.
Shurakuen Garden
Shurakuen Garden is a traditional Japanese landscape garden in Tsuyama known for its seasonal beauty, ponds, and historic design.
-
D.
Yoshino
Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
-
E.
Kodama
Kodama is a Japanese surname borne by various notable figures in fields such as politics, the military, the arts, and sports.
- 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: Sakura Forest Triple: [Moerenuma Park, hasPart, Sakura Forest]
Generated description
Sakura Forest is a cherry blossom grove within Sapporo’s Moerenuma Park, known for its seasonal displays of sakura trees that attract visitors for hanami (flower viewing).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakura Forest Target entity description: Sakura Forest is a cherry blossom grove within Sapporo’s Moerenuma Park, known for its seasonal displays of sakura trees that attract visitors for hanami (flower viewing).
-
A.
Midorigaoka
Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
-
B.
Nagareyama
Nagareyama is a city in Chiba Prefecture, Japan, known as a residential suburb of the Tokyo metropolitan area with growing commuter access and family-oriented neighborhoods.
-
C.
Shurakuen Garden
Shurakuen Garden is a traditional Japanese landscape garden in Tsuyama known for its seasonal beauty, ponds, and historic design.
-
D.
Yoshino
Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
-
E.
Kodama
Kodama is a Japanese surname borne by various notable figures in fields such as politics, the military, the arts, and sports.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51e9d97c8190a947848fdaa5b67d |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf5323b7c08190819de236e01ce9d3 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a3482c8190a8824c79aa2bd4cb |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:42 p.m.