Triple
T18311843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuzhou |
E438644
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Hezhou |
—
|
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: Hezhou | Statement: [Wuzhou, borders, Hezhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hezhou Context triple: [Wuzhou, borders, Hezhou]
-
A.
Hezhou
chosen
Hezhou is a prefecture-level city in eastern Guangxi, China, known for its karst landscapes, mineral resources, and role as a regional transport hub.
-
B.
Hengzhou
Hengzhou is a historical city in southern China, known as the place where the Ming–Qing transition general Wu Sangui died.
-
C.
Bozhou
Bozhou is a historic city in northern Anhui Province, China, known as a major center of traditional Chinese medicine and ancient culture.
-
D.
Hongzhou
Hongzhou was a prominent Tang dynasty Buddhist monk whose teachings gave rise to the influential Hongzhou school of Chan (Zen) Buddhism.
-
E.
Heshan City
Heshan City is a county-level city in Guangdong Province, China, known for its manufacturing industry and administration under the prefecture-level city of Jiangmen.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.