Triple
T22780340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpensia Cross-Country Centre |
E563818
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Pyeongchang-gun |
—
|
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: Pyeongchang-gun | Statement: [Alpensia Cross-Country Centre, city, Pyeongchang-gun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyeongchang-gun Context triple: [Alpensia Cross-Country Centre, city, Pyeongchang-gun]
-
A.
Pyeongchang County
chosen
Pyeongchang County is a mountainous region in South Korea best known internationally for hosting the 2018 Winter Olympics.
-
B.
Pyeongchang-eup
Pyeongchang-eup is the main urban township and administrative center of Pyeongchang County in Gangwon Province, South Korea.
-
C.
Jeungpyeong-gun
Jeungpyeong-gun is a rural county in central South Korea known for its agricultural landscape and location within North Chungcheong Province.
-
D.
Boeun-gun
Boeun-gun is a rural county in central South Korea known for its apple orchards, scenic mountains, and historic Beopjusa Temple in Songnisan National Park.
-
E.
Hwacheon County
Hwacheon County is a rural county in Gangwon Province, South Korea, known for its mountainous terrain, lakes, and popular ice fishing festival.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2cab0881908df1d0629b43d350 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:28 p.m.