Triple
T22703193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyeongchang County |
E561376
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Phoenix Pyeongchang |
—
|
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: Phoenix Pyeongchang | Statement: [Pyeongchang County, contains, Phoenix Pyeongchang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix Pyeongchang Context triple: [Pyeongchang County, contains, Phoenix Pyeongchang]
-
A.
Phoenix Pyeongchang
chosen
Phoenix Pyeongchang is a popular ski and snowboard resort in South Korea known for hosting events during the Pyeongchang 2018 Winter Olympics.
-
B.
Pyeongchang
Pyeongchang is a county in South Korea best known internationally for hosting the 2018 Winter Olympics.
-
C.
Olympic-daero
Olympic-daero is a major arterial highway in Seoul, South Korea, running along the Han River and serving as a key east–west transportation corridor in the city.
-
D.
Hyesan
Hyesan is a major city in northern North Korea, located on the border with China along the Yalu River and serving as an important regional administrative and transport hub.
-
E.
Yuna Kim
Yuna Kim is a South Korean figure skating legend and Olympic champion widely celebrated for her technical excellence, artistry, and global impact on the sport.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cbf5788190bc8cd1bc71a861e5 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:16 p.m.