Triple
T16165087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shangjing |
E392282
|
entity |
| Predicate | locatedInPresentDay |
P40
|
FINISHED |
| Object | Harbin region |
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 region | Statement: [Shangjing, locatedInPresentDay, Harbin region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbin region Context triple: [Shangjing, locatedInPresentDay, Harbin region]
-
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.
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.
-
C.
Daqing
Daqing is a major industrial city in northeastern China best known for its large oil fields and role as a center of the country’s petroleum industry.
-
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.
Hegang
Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b96bf08190b23bd3b705a34c61 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.