Triple
T7269427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bozhou |
E161062
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Bozhou |
E161062
|
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: Bozhou | Statement: [Bozhou, romanization, Bozhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bozhou Context triple: [Bozhou, romanization, Bozhou]
-
A.
Bozhou
chosen
Bozhou is a historic city in northern Anhui Province, China, known as a major center of traditional Chinese medicine and ancient culture.
-
B.
Hezhou
Hezhou is a prefecture-level city in eastern Guangxi, China, known for its karst landscapes, mineral resources, and role as a regional transport hub.
-
C.
Shangqiu
Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
-
D.
Baoding
Baoding is a historic prefecture-level city in central Hebei Province, China, known as a regional transportation hub and former military and administrative center.
-
E.
Changzhi
Changzhi is a major city in southeastern Shanxi Province, China, known as a regional industrial and transportation hub with a long historical and cultural heritage.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae9f8bc8190a8c31cc29926919c |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eed8c5448190b83faee62f8122de |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 2:58 p.m.