Triple
T15735952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huludao |
E381470
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Chaoyang |
—
|
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: Chaoyang | Statement: [Huludao, borderedBy, Chaoyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaoyang Context triple: [Huludao, borderedBy, Chaoyang]
-
A.
Chaoyang
chosen
Chaoyang is a prefecture-level city in western Liaoning Province, China, known for its historical sites and role as a regional transportation and agricultural center.
-
B.
Chaoyang District
Chaoyang District is a major urban district in Beijing known for its modern business centers, diplomatic quarter, and prominent Olympic venues.
-
C.
Chaoyang District
Chaoyang District is an urban administrative district in Guangdong Province, China, known for its role within the Chaoshan cultural and economic region.
-
D.
Heping District
Heping District is a central urban district of Tianjin, China, known for its commercial centers, historic architecture, and role as a core administrative and cultural area of the city.
-
E.
Caofeidian District
Caofeidian District is a coastal industrial and port district of Tangshan in Hebei Province, China, known for its large-scale steel, petrochemical, and logistics industries.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd586a88190aa1b1b88368d386f |
completed | April 16, 2026, 2:56 a.m. |
Created at: April 10, 2026, 4:46 a.m.