Triple
T16583228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Fourth Army Incident |
E402888
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Maolin, Anhui |
E402888
|
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: Maolin, Anhui | Statement: [New Fourth Army Incident, location, Maolin, Anhui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maolin, Anhui Context triple: [New Fourth Army Incident, location, Maolin, Anhui]
-
A.
Maolin, Anhui
chosen
Maolin, Anhui is a town in eastern China notable as the site of the New Fourth Army Incident during the Second Sino-Japanese War.
-
B.
Xuancheng
Xuancheng is a county-level city in southeastern Anhui Province, China, known for its historical heritage and traditional Chinese ink production.
-
C.
Jing County, Anhui
Jing County, located in Anhui Province, China, is a county-level administrative region known for its traditional Huizhou culture and historic architecture.
-
D.
Chizhou
Chizhou is a prefecture-level city in southeastern China known for its proximity to the scenic Mount Jiuhua, one of the four sacred mountains of Chinese Buddhism.
-
E.
Suzhou (Anhui)
Suzhou (Anhui) is a county-level city in northern Anhui Province, China, known as an important regional center for agriculture and light industry.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999088c8190900497f18728bd0b |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007597905881909df7dc49961b6a02 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.