Triple
T14305542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinhua |
E354684
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Quzhou |
E364895
|
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: Quzhou | Statement: [Jinhua, locatedNear, Quzhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quzhou Context triple: [Jinhua, locatedNear, Quzhou]
-
A.
Quzhou
chosen
Quzhou is a historic prefecture-level city in western Zhejiang Province, China, known as a regional transport hub with cultural heritage sites and a growing modern economy.
-
B.
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.
-
C.
Huzhou
Huzhou is a prefecture-level city in eastern China known for its location on the southern shore of Lake Tai and its role as an important economic and cultural center in northern Zhejiang.
-
D.
Shangrao
Shangrao is a prefecture-level city in northeastern Jiangxi Province, China, known for its mountainous landscapes and proximity to popular scenic areas such as Mount Sanqing.
-
E.
Ezhou
Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd647daf448190a7a9e4ab432977c4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:12 a.m.