Triple
T17430343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungnam |
E423851
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Hungnam District |
—
|
NE NERFINISHED |
How this triple was built (3 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: Hungnam District | Statement: [Hungnam, hasAlternativeName, Hungnam District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hungnam District Context triple: [Hungnam, hasAlternativeName, Hungnam District]
-
A.
Kim Bang District
Kim Bang District is a rural administrative district located within Hà Nam Province in northern Vietnam, known for its agricultural landscape and proximity to major transport routes.
-
B.
Dangam District
Dangam District is an administrative district located in Afghanistan's mountainous and conflict-affected Kunar Province, near the border with Pakistan.
-
C.
Magok District
Magok District is a major urban development area in western Seoul, South Korea, known for its high-tech industrial complexes, research facilities, and modern residential and commercial infrastructure.
-
D.
Jung District
Jung District is a central administrative and commercial district in Seoul, South Korea, known for its major business centers, historic sites, and cultural landmarks.
-
E.
Jung District
Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hungnam District Target entity description: Hungnam District is an industrial port area of Hamhung in South Hamgyong Province, North Korea, known for its chemical industry and historical role in the Korean War evacuation.
-
A.
Kim Bang District
Kim Bang District is a rural administrative district located within Hà Nam Province in northern Vietnam, known for its agricultural landscape and proximity to major transport routes.
-
B.
Dangam District
Dangam District is an administrative district located in Afghanistan's mountainous and conflict-affected Kunar Province, near the border with Pakistan.
-
C.
Magok District
Magok District is a major urban development area in western Seoul, South Korea, known for its high-tech industrial complexes, research facilities, and modern residential and commercial infrastructure.
-
D.
Jung District
Jung District is a central administrative and commercial district in Seoul, South Korea, known for its major business centers, historic sites, and cultural landmarks.
-
E.
Jung District
Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
- F. None of above. chosen
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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448ffb9c8819099fabfeebdc06883 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.