Triple
T4839126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gangnam District |
E108134
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Seolleung |
E474811
|
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: Seolleung | Statement: [Gangnam District, contains, Seolleung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seolleung Context triple: [Gangnam District, contains, Seolleung]
-
A.
Soi-myeon
Soi-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
B.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
C.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Donggureung
chosen
Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
-
E.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce4a5108190aede620d5dde1f81 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee059e7088190a04124e5918a3c42 |
completed | March 21, 2026, 6:15 p.m. |
Created at: March 20, 2026, 1:25 p.m.