Triple
T22741600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunhua |
E562427
|
entity |
| Predicate | borderingAdministrativeUnit |
P224
|
FINISHED |
| Object | Yanji |
—
|
NE NERFINISHED |
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: Yanji | Statement: [Dunhua, borderingAdministrativeUnit, Yanji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yanji Context triple: [Dunhua, borderingAdministrativeUnit, Yanji]
-
A.
Yanji
chosen
Yanji is a city in northeastern China’s Jilin Province, known as a cultural and economic center of the ethnic Korean community near the North Korean border.
-
B.
Hunchun
Hunchun is a border city in northeastern China’s Jilin Province, known for its strategic location near the junction of China, Russia, and North Korea and its role in regional trade and development.
-
C.
Tieling
Tieling is a prefecture-level city in northeastern China known for its coal resources and location within Liaoning Province.
-
D.
Ning'an
Ning'an is a county-level city in southeastern Heilongjiang Province, China, known for its historical sites and proximity to Jingpo Lake.
-
E.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.