Triple
T15954900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo metropolitan area |
E386908
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Naganuma
Naganuma is a town in Hokkaido, Japan, situated within the greater Sapporo metropolitan area.
|
E1430644
|
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: Naganuma | Statement: [Sapporo metropolitan area, hasSuburb, Naganuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naganuma Context triple: [Sapporo metropolitan area, hasSuburb, Naganuma]
-
A.
Nagao
Nagao is a Japanese samurai clan name historically associated with the powerful warlord Uesugi Kenshin during the Sengoku period.
-
B.
Narusawa
Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
-
C.
Yorinaga
Yorinaga is a Japanese given name most notably borne by the Heian-period court noble Fujiwara no Yorinaga.
-
D.
Kanemoto
Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
-
E.
Nakata
Nakata is a Japanese surname most famously associated with former professional footballer Hidetoshi Nakata, one of Japan’s best-known international players.
- 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: Naganuma Triple: [Sapporo metropolitan area, hasSuburb, Naganuma]
Generated description
Naganuma is a town in Hokkaido, Japan, situated within the greater Sapporo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naganuma Target entity description: Naganuma is a town in Hokkaido, Japan, situated within the greater Sapporo metropolitan area.
-
A.
Nagao
Nagao is a Japanese samurai clan name historically associated with the powerful warlord Uesugi Kenshin during the Sengoku period.
-
B.
Narusawa
Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
-
C.
Yorinaga
Yorinaga is a Japanese given name most notably borne by the Heian-period court noble Fujiwara no Yorinaga.
-
D.
Kanemoto
Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
-
E.
Nakata
Nakata is a Japanese surname most famously associated with former professional footballer Hidetoshi Nakata, one of Japan’s best-known international players.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883db3d888190a737968796e13f79 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884d316148190b1fe155fc2dfbb7b |
completed | May 16, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088565cbcc81909b4bbc286d272ef6 |
completed | May 16, 2026, 2:55 p.m. |
Created at: April 10, 2026, 4:53 a.m.