Triple
T11684171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ung Hoa District |
E277695
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Kim Bang District |
E673126
|
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: Kim Bang District | Statement: [Ung Hoa District, borders, Kim Bang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Bang District Context triple: [Ung Hoa District, borders, Kim Bang District]
-
A.
Kim Bang District
chosen
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.
Kang District
Kang District is an administrative district located in Nimruz Province in southwestern Afghanistan.
-
C.
Jung District
Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
-
D.
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.
-
E.
Kangbashi District
Kangbashi District is a planned urban district of Ordos in Inner Mongolia, China, known for its rapid development, ambitious architecture, and initial reputation as a "ghost city" due to low early occupancy.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457f7be0081908f8e1760cc7b8294 |
completed | May 1, 2026, 7:36 a.m. |
Created at: April 8, 2026, 9:40 p.m.