Triple
T15496512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokoname |
E378830
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Yixing |
E566273
|
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: Yixing | Statement: [Tokoname, hasSisterCity, Yixing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yixing Context triple: [Tokoname, hasSisterCity, Yixing]
-
A.
Yixing
chosen
Yixing is a county-level city in southern Jiangsu Province, China, renowned for its traditional purple clay teapots and ceramics.
-
B.
Wuxi
Wuxi is a major industrial and cultural city in eastern China, located near Lake Tai and known for its manufacturing, canals, and historic gardens.
-
C.
Tongxiang
Tongxiang is a county-level city in northern Zhejiang Province, China, known for administering the historic water town of Wuzhen.
-
D.
Liyang
Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
-
E.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2d4b1c81909ff876289db20803 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 3:52 a.m.