Triple
T15200561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 오산시 |
E363256
|
entity |
| Predicate | locatedNorthOf |
P305
|
FINISHED |
| Object | 평택시 |
E42974
|
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: 평택시 | Statement: [오산시, locatedNorthOf, 평택시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 평택시 Context triple: [오산시, locatedNorthOf, 평택시]
-
A.
Pyeongtaek
chosen
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.
-
B.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
C.
Pyeongtaek Station
Pyeongtaek Station is a major railway station in Pyeongtaek, South Korea, serving as a regional transport hub on multiple rail lines including services toward Seoul and other parts of the country.
-
D.
Ansan
Ansan is a coastal industrial city in South Korea known for its manufacturing base, multicultural population, and proximity to Seoul.
-
E.
Busan Transportation Corporation
Busan Transportation Corporation is the public company responsible for operating and managing the Busan Metro system in Busan, 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.