Triple
T12707871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yingkou |
E303634
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Bayuquan District |
E1040492
|
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: Bayuquan District | Statement: [Yingkou, hasDistrict, Bayuquan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayuquan District Context triple: [Yingkou, hasDistrict, Bayuquan District]
-
A.
Bayuquan District
chosen
Bayuquan District is a coastal urban district of Yingkou in Liaoning Province, China, known for its port, petrochemical industry, and seaside tourism.
-
B.
Wanbailin District
Wanbailin District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
C.
Songbei District
Songbei District is an urban district of Harbin in Heilongjiang Province, China, known for its modern development and location along the northern bank of the Songhua River.
-
D.
Tianya District
Tianya District is an administrative district of the city of Sanya in Hainan Province, China, known for its coastal tourism and tropical scenery.
-
E.
Daoli District
Daoli District is a central urban district of Harbin, China, known for its historic architecture, commercial streets, and role as a cultural and administrative hub of the city.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7a9e6c81908ae78daace02e7ec |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 5:23 p.m.