Triple
T7870989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oshiage |
E182735
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Narihira
Narihira is a neighborhood in Sumida, Tokyo, known for its residential character and proximity to major landmarks like Tokyo Skytree.
|
E709086
|
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: Narihira | Statement: [Oshiage, adjacentTo, Narihira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narihira Context triple: [Oshiage, adjacentTo, Narihira]
-
A.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
B.
Nōhime
Nōhime was a 16th-century Japanese noblewoman, traditionally regarded as the politically significant but enigmatic wife of the warlord Oda Nobunaga.
-
C.
Nagako
Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
-
D.
Nijō Tsuruko
Nijō Tsuruko was a Japanese noblewoman of the Nijō family and the mother of Empress Shōken, consort of Emperor Meiji.
-
E.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
- 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: Narihira Triple: [Oshiage, adjacentTo, Narihira]
Generated description
Narihira is a neighborhood in Sumida, Tokyo, known for its residential character and proximity to major landmarks like Tokyo Skytree.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narihira Target entity description: Narihira is a neighborhood in Sumida, Tokyo, known for its residential character and proximity to major landmarks like Tokyo Skytree.
-
A.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
B.
Nōhime
Nōhime was a 16th-century Japanese noblewoman, traditionally regarded as the politically significant but enigmatic wife of the warlord Oda Nobunaga.
-
C.
Nagako
Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
-
D.
Nijō Tsuruko
Nijō Tsuruko was a Japanese noblewoman of the Nijō family and the mother of Empress Shōken, consort of Emperor Meiji.
-
E.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63a03cc881908253d9cb280c0164 |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc651b4be08190ad76c70b1d617c1a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664700dc819097d149931cf49673 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:55 p.m.