Triple
T15779447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koromo |
E382573
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
挙母
挙母(ころも)は、かつて愛知県に存在した城下町を中心とする地名で、現在の豊田市の旧称として知られている名称である。
|
E1177500
|
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: 挙母 | Statement: [Koromo, hasJapaneseName, 挙母]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 挙母 Context triple: [Koromo, hasJapaneseName, 挙母]
-
A.
Kouaku
Kouaku is one of the small islands that make up the remote Gambier Islands archipelago in French Polynesia.
-
B.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
C.
Kunitachi
Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
-
D.
Iyesato
Iyesato is the given name of Prince Iyesato Tokugawa, a prominent Japanese noble and political leader of the early 20th century.
-
E.
Motokiyo
Motokiyo is the given name of Zeami Motokiyo, the seminal Japanese playwright, actor, and theorist who shaped the classical Noh theatre tradition.
- 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: 挙母 Triple: [Koromo, hasJapaneseName, 挙母]
Generated description
挙母(ころも)は、かつて愛知県に存在した城下町を中心とする地名で、現在の豊田市の旧称として知られている名称である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 挙母 Target entity description: 挙母(ころも)は、かつて愛知県に存在した城下町を中心とする地名で、現在の豊田市の旧称として知られている名称である。
-
A.
Kouaku
Kouaku is one of the small islands that make up the remote Gambier Islands archipelago in French Polynesia.
-
B.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
C.
Kunitachi
Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
-
D.
Iyesato
Iyesato is the given name of Prince Iyesato Tokugawa, a prominent Japanese noble and political leader of the early 20th century.
-
E.
Motokiyo
Motokiyo is the given name of Zeami Motokiyo, the seminal Japanese playwright, actor, and theorist who shaped the classical Noh theatre tradition.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93cf529c819097537d87689aad93 |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff944ac4248190a3d60c2486910eaf |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.