Triple
T19701491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Hwanghae Province |
E473107
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sariwon |
E1391959
|
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: Sariwon | Statement: [North Hwanghae Province, hasCity, Sariwon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sariwon Context triple: [North Hwanghae Province, hasCity, Sariwon]
-
A.
Sariwon
chosen
Sariwon is a major city in southwestern North Korea known as an administrative, transportation, and agricultural center.
-
B.
Sokcho
Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
-
C.
Chinju
Chinju (often spelled Jinju) is a city in South Gyeongsang Province, South Korea, known for its historic fortress, Namgang Yudeung (Lantern) Festival, and rich cultural heritage.
-
D.
Soreang
Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
-
E.
Honam
Honam is a southwestern region of South Korea known for its rich agricultural land, distinct cultural traditions, and major cities like Gwangju and Jeonju.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b667908190841bb5fb7bfdb3f7 |
completed | April 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4e862088190b56360981fabc66a |
completed | May 16, 2026, 12:06 a.m. |
Created at: April 10, 2026, 1:46 p.m.