Triple
T14964479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuxin |
E373152
|
entity |
| Predicate | hasNameInChinese |
P4878
|
FINISHED |
| Object | 阜新市 |
E373152
|
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: 阜新市 | Statement: [Fuxin, hasNameInChinese, 阜新市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 阜新市 Context triple: [Fuxin, hasNameInChinese, 阜新市]
-
A.
乌兰察布市
乌兰察布市是位于中国内蒙古自治区中部、以草原风光和交通枢纽地位著称的地级市。
-
B.
Fuxin
chosen
Fuxin is a prefecture-level city in northeastern China known historically for its coal mining industry and location in western Liaoning Province.
-
C.
Fushun
Fushun is an industrial city in northeastern China known historically for its coal mining and heavy industry.
-
D.
Liaoyang
Liaoyang is an ancient industrial city in northeastern China known for its historical significance and role in the region’s heavy industry.
-
E.
Benxi
Benxi is an industrial and mining city in eastern Liaoning Province, China, known for its steel production and nearby scenic karst landscapes.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:45 a.m.