Triple
T20051542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seongdong District |
E499210
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Jung District |
—
|
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: Jung District | Statement: [Seongdong District, borderedBy, Jung District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jung District Context triple: [Seongdong District, borderedBy, Jung District]
-
A.
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.
-
B.
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.
-
C.
Jung District
chosen
Jung District is a central administrative and commercial district in Seoul, South Korea, known for its major business centers, historic sites, and cultural landmarks.
-
D.
Kang District
Kang District is an administrative district located in Nimruz Province in southwestern Afghanistan.
-
E.
Sanchong District
Sanchong District is a densely populated urban district in New Taipei City, Taiwan, situated across the river from central Taipei and known for its residential neighborhoods and commercial activity.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632ee4d48190b9de3a1efa064492 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.