Triple
T5576439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baeggu |
E146329
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Baegu |
E146329
|
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: Baegu | Statement: [Baeggu, hasAlternativeName, Baegu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baegu Context triple: [Baeggu, hasAlternativeName, Baegu]
-
A.
Baeggu
chosen
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
B.
Seochon
Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
-
C.
Yangju
Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
-
D.
Jeongjeon
Jeongjeon is the principal ceremonial hall of Seoul’s Jongmyo Shrine, where ancestral tablets of Joseon Dynasty kings and queens are enshrined and Confucian rites are performed.
-
E.
Sudogwon
Sudogwon is the Seoul Capital Area of South Korea, encompassing Seoul, Incheon, and surrounding Gyeonggi Province as the country’s largest and most populous metropolitan region.
- 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_69c020697fbc8190bd084d7896db3ab8 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097c0412c8190ac16cc7d03015293 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:37 p.m.