Triple
T6687998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gapcheon |
E152147
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Daejeon city center |
E28250
|
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: Daejeon city center | Statement: [Gapcheon, near, Daejeon city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daejeon city center Context triple: [Gapcheon, near, Daejeon city center]
-
A.
Sungneung (Seoul)
Sungneung in Seoul is a royal burial site from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex that preserves the dynasty’s funerary architecture and landscape.
-
B.
Jongno-gu, Seoul
Jongno-gu, Seoul is a central district of South Korea’s capital city known as a historic, political, and cultural hub that hosts major government institutions and heritage sites.
-
C.
Daejeon
chosen
Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
-
D.
Kangbuk-gu, Seoul
Kangbuk-gu, Seoul is a northern district of South Korea’s capital city known for its residential neighborhoods, mountainous landscapes, and cultural sites.
-
E.
Uijeongbu
Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14e58708190a4ba8ff1c085f160 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b31fa0819089c4debbbbce9d22 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.