Triple
T3337945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artigas Base |
E70184
|
entity |
| Predicate | nearbyBase |
P26804
|
FINISHED |
| Object | King Sejong Station |
E119817
|
NE FINISHED |
How this triple was built (3 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: King Sejong Station | Statement: [Artigas Base, nearbyBase, King Sejong Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Sejong Station Context triple: [Artigas Base, nearbyBase, King Sejong Station]
-
A.
Korean King Sejong Station
chosen
Korean King Sejong Station is a South Korean Antarctic research base on King George Island that supports scientific studies in fields such as glaciology, meteorology, and marine biology.
-
B.
Yeonsan Station
Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
-
C.
Daejeon Station
Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
-
D.
Seodaejeon Station
Seodaejeon Station is a major railway station in Daejeon, South Korea, serving as an important stop on national rail lines including high-speed services.
-
E.
Oncheonjang Station
Oncheonjang Station is a subway station in Busan, South Korea, serving the Oncheonjang area in Dongnae District and providing access to its hot spring and commercial zones.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyBase Context triple: [Artigas Base, nearbyBase, King Sejong Station]
-
A.
hasNearbyBase
chosen
Indicates that one entity has a base or facility located in close physical proximity to another entity or location.
-
B.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
C.
nearbyCurrent
Indicates that one entity is located close to another entity at the present moment or in the current context.
-
D.
nearbyFrontier
Indicates that one entity is located close to a boundary or frontier region associated with another entity.
-
E.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
- F. None of above.
Provenance (4 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bc31b4819085f01e0b5a7cbc5d |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.