Triple
T9811502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo, Belgium |
E238281
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Nagakute, Japan |
E393242
|
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: Nagakute, Japan | Statement: [Waterloo, Belgium, hasTwinTown, Nagakute, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagakute, Japan Context triple: [Waterloo, Belgium, hasTwinTown, Nagakute, Japan]
-
A.
Kakegawa, Japan
Kakegawa, Japan is a city in Shizuoka Prefecture known for its historic castle, green tea production, and scenic views of Mount Fuji.
-
B.
Nagakute
chosen
Nagakute is a city in Aichi Prefecture, Japan, known for hosting part of Expo 2005 and for its blend of suburban residential areas and cultural attractions.
-
C.
Omihachiman, Japan
Omihachiman is a historic city in Shiga Prefecture, Japan, known for its preserved merchant quarters, canals, and traditional architecture along the eastern shore of Lake Biwa.
-
D.
Shinhidaka, Japan
Shinhidaka is a town in Hokkaido, Japan, known for its horse breeding industry and scenic rural landscapes.
-
E.
Tsuyama, Japan
Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2214a7c8190b516acf64e2b85db |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5f768c8190987aaa7164f42444 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:30 p.m.