Triple
T11745051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawagoe |
E279257
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Little Edo |
E612251
|
NE FINISHED |
How this triple was built (2 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: Little Edo | Statement: [Kawagoe, nickname, Little Edo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Edo Context triple: [Kawagoe, nickname, Little Edo]
-
A.
Little Edo
chosen
Little Edo is the historical nickname for Kawagoe in Saitama Prefecture, known for its well-preserved Edo-period streetscapes and traditional warehouses.
-
B.
Honancho
Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
-
C.
Doryumu
Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
-
D.
Cô Bé
Cô Bé is a youthful female spirit in the Vietnamese Đạo Mẫu tradition, often revered as a playful yet protective attendant of higher mother goddesses.
-
E.
Mibu no Tadamine
Mibu no Tadamine was a prominent early Heian-period Japanese waka poet and courtier, known as one of the Thirty-Six Immortals of Poetry and an influential contributor to classical Japanese verse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019e4f0988190afe0b92f4c9d8073 |
completed | April 28, 2026, 2:22 a.m. |
Created at: April 8, 2026, 9:41 p.m.