Triple
T1155790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Meiji |
E23778
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Sachinomiya
Sachinomiya was the childhood name of Emperor Meiji, the Japanese monarch who oversaw the country's rapid modernization and the Meiji Restoration.
|
E214365
|
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: Sachinomiya | Statement: [Emperor Meiji, birthName, Sachinomiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachinomiya Context triple: [Emperor Meiji, birthName, Sachinomiya]
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
Nerima
Nerima is a residential ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
-
C.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
D.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
E.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
- 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: Sachinomiya Triple: [Emperor Meiji, birthName, Sachinomiya]
Generated description
Sachinomiya was the childhood name of Emperor Meiji, the Japanese monarch who oversaw the country's rapid modernization and the Meiji Restoration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sachinomiya Target entity description: Sachinomiya was the childhood name of Emperor Meiji, the Japanese monarch who oversaw the country's rapid modernization and the Meiji Restoration.
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
Nerima
Nerima is a residential ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
-
C.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
D.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
E.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc912300819084c9c69783055a70 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3a85f8481908d93f60b0ae82901 |
completed | March 8, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69adf431c3a88190971f61d53c2bad2e |
completed | March 8, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4bdb6dc8190964e5e78abfb8e40 |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 1, 2026, 7:44 p.m.