Triple
T10297036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setagaya |
E241517
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Kiso |
E727568
|
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: Kiso | Statement: [Setagaya, hasSisterCity, Kiso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiso Context triple: [Setagaya, hasSisterCity, Kiso]
-
A.
Kiso
chosen
Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
-
B.
Kipoi
Kipoi is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its arched bridges and well-preserved architecture.
-
C.
Kizu
Kizu was a former town in Japan’s Kyoto Prefecture that was once part of Soraku District before being merged into a larger municipality.
-
D.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
E.
Kisukuma
Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d2cc9c48190bc36f6a4f8144b7f |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:43 a.m.