Triple
T21289735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiangfang District |
E524753
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Harbin urban core |
E180578
|
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: Harbin urban core | Statement: [Xiangfang District, partOf, Harbin urban core]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbin urban core Context triple: [Xiangfang District, partOf, Harbin urban core]
-
A.
Harbin
chosen
Harbin is a major city in northeastern China known for its Russian-influenced architecture and its internationally famous annual ice and snow festival.
-
B.
Harbin and Dalian
Harbin and Dalian are major cities in northeastern China, with Harbin known for its ice festival and Russian-influenced architecture and Dalian recognized as a key port and coastal economic center.
-
C.
Hegang
Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
-
D.
Luohe City
Luohe City is a prefecture-level city in central China’s Henan Province, known for its food processing industry and location along the Sha River.
-
E.
Qiqihar
Qiqihar is a major industrial city in northeastern China’s Heilongjiang province, known historically as a regional transportation hub and center for heavy 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d9467881908ec5b1dec76e6f5d |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ecd1028819083142cd48f23af6d |
completed | May 17, 2026, 10:56 a.m. |
Created at: April 16, 2026, 4:03 p.m.