Triple
T5575176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jongno-gu |
E146300
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gwanghwamun neighborhood |
E350135
|
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: Gwanghwamun neighborhood | Statement: [Jongno-gu, contains, Gwanghwamun neighborhood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwanghwamun neighborhood Context triple: [Jongno-gu, contains, Gwanghwamun neighborhood]
-
A.
Gwangalli neighborhood
Gwangalli neighborhood is a coastal district in Busan, South Korea, known for its vibrant nightlife, cafes, and scenic views of Gwangandaegyo Bridge along the waterfront.
-
B.
Jongno District
chosen
Jongno District is a central historic and administrative area of Seoul, South Korea, known for its government institutions, cultural landmarks, and traditional neighborhoods.
-
C.
Gwanak-gu
Gwanak-gu is a district in southern Seoul, South Korea, known for its mountainous terrain and as the home of major educational institutions and residential neighborhoods.
-
D.
Cheongnyong-dong
Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
-
E.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02067e8d8819090a006cb266da5fe |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf5e1fcc8190b9ab67a9cc9e1be0 |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 22, 2026, 3:37 p.m.