Triple
T25907750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ongjin-eup |
E652799
|
entity |
| Predicate | locatedInFirstLevelDivision |
P35846
|
FINISHED |
| Object | South Hwanghae Province |
—
|
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: South Hwanghae Province | Statement: [Ongjin-eup, locatedInFirstLevelDivision, South Hwanghae Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInFirstLevelDivision Context triple: [Ongjin-eup, locatedInFirstLevelDivision, South Hwanghae Province]
-
A.
isLocatedInSubdivision
Indicates that one place or entity is situated within a more specific administrative or geographic subdivision of another area.
-
B.
locatedInSubnationalEntity
chosen
Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
-
C.
firstLevelWithinProvince
Indicates that an administrative unit is a first-level subdivision contained within a given province.
-
D.
locatedInPrefectureLevel
Indicates that one entity is geographically situated within, and administratively belongs to, a specific prefecture-level jurisdiction.
-
E.
locatedInRegionalDistrict
Indicates that one entity is geographically situated within the boundaries of a specified regional district.
- F. None of above.
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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 22, 2026, 8:27 a.m.