Triple
T21495843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanai |
E530349
|
entity |
| Predicate | mergerPartnerOf |
P6600
|
FINISHED |
| Object | Hamochi |
—
|
NE NERFINISHED |
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: Hamochi | Statement: [Kanai, mergerPartnerOf, Hamochi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamochi Context triple: [Kanai, mergerPartnerOf, Hamochi]
-
A.
Hamochi
chosen
Hamochi was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
-
B.
Hamachō
Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
-
C.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
D.
Kinmochi
Kinmochi is the given name of Prince Saionji Kinmochi, a prominent Japanese statesman and twice prime minister during the Meiji and Taishō periods.
-
E.
Chumo
Chumo is the legendary founder and first king of the ancient Korean kingdom of Goguryeo, more widely known by the name Jumong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea582d9c8190b95ff6e1b8179b81 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:23 p.m.