Triple
T6248099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seocho District |
E139771
|
entity |
| Predicate | hasNotableArea |
P494
|
FINISHED |
| Object | Gangnam-daero corridor |
E502846
|
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: Gangnam-daero corridor | Statement: [Seocho District, hasNotableArea, Gangnam-daero corridor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangnam-daero corridor Context triple: [Seocho District, hasNotableArea, Gangnam-daero corridor]
-
A.
Munsu Street
Munsu Street is a major thoroughfare in Pyongyang, North Korea, known for hosting prominent political monuments and state landmarks.
-
B.
Sejong-daero
chosen
Sejong-daero is a major thoroughfare in central Seoul, South Korea, known for its historical landmarks, government buildings, and cultural significance.
-
C.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
-
D.
Itaewon
Itaewon is a vibrant multicultural district in Seoul known for its international cuisine, nightlife, and diverse expatriate community.
-
E.
Cheongnyong-dong
Cheongnyong-dong is a neighborhood located within Geumjeong District 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633a9a048190856d5247d3b28a2e |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5191599d0819098a1b20b9d680f4b |
completed | March 26, 2026, 11:31 a.m. |
Created at: March 22, 2026, 4:23 p.m.