Triple
T10617214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eumseong County |
E276151
|
entity |
| Predicate | containsAdministrativeDivision |
P747
|
FINISHED |
| Object | Daeso-myeon |
E262290
|
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: Daeso-myeon | Statement: [Eumseong County, containsAdministrativeDivision, Daeso-myeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daeso-myeon Context triple: [Eumseong County, containsAdministrativeDivision, Daeso-myeon]
-
A.
Daeso-myeon
chosen
Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
B.
Daegwallyeong-myeon
Daegwallyeong-myeon is a mountainous township in Pyeongchang County, South Korea, known for its cold climate, winter sports facilities, and role as a key venue area for the 2018 Winter Olympics.
-
C.
Duseo-myeon
Duseo-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
-
D.
Ungchon-myeon
Ungchon-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
-
E.
Samsan-myeon
Samsan-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff76eef4c8190b4fe681a9431207d |
completed | April 15, 2026, 8:39 p.m. |
Created at: April 8, 2026, 7:33 p.m.