Triple
T22852804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2018 Winter Olympics |
E566396
|
entity |
| Predicate | hostCity |
P1798
|
FINISHED |
| Object | 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: Pyeongchang | Statement: [figure skating at the 2018 Winter Olympics, hostCity, Pyeongchang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyeongchang Context triple: [figure skating at the 2018 Winter Olympics, hostCity, Pyeongchang]
-
A.
Pyeongchang
chosen
Pyeongchang is a county in South Korea best known internationally for hosting the 2018 Winter Olympics.
-
B.
Gangneung Oval
Gangneung Oval is a purpose-built long-track speed skating venue in Gangneung, South Korea, used for major international competitions including the 2018 Winter Olympics.
-
C.
Gangneung
Gangneung is a coastal city in South Korea’s Gangwon Province, known for its beaches, cultural festivals, and role as a host city during the 2018 Pyeongchang Winter Olympics.
-
D.
Pyeongchang-eup
Pyeongchang-eup is the main urban township and administrative center of Pyeongchang County in Gangwon Province, South Korea.
-
E.
Pyeongtaek
Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eba65a881908c484262c3ee5212 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.