Triple
T7806909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbin |
E180578
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Heilongjiang Province |
E114388
|
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: Heilongjiang Province | Statement: [Harbin, capitalOf, Heilongjiang Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heilongjiang Province Context triple: [Harbin, capitalOf, Heilongjiang Province]
-
A.
Heilongjiang
chosen
Heilongjiang is a northeastern Chinese province known for its cold climate, heavy industry, and border with Russia.
-
B.
Jilin Province
Jilin Province is a northeastern Chinese province in the historical region of Manchuria, known for its cold climate, heavy industry, and significant Korean ethnic minority.
-
C.
Liaoning
Liaoning is a northeastern coastal province of China known for its heavy industry, port cities, and role as a gateway to the Korean Peninsula.
-
D.
Hebei
Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
-
E.
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.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf639fba88190a7c117aab19c0b0f |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a3bd2e481908e3d3906755b5b7a |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:35 p.m.