Triple
T19598639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeongjeon |
E470409
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Jeongjeon |
—
|
NE NERFINISHED |
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: Jeongjeon | Statement: [Jeongjeon, romanization, Jeongjeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeongjeon Context triple: [Jeongjeon, romanization, Jeongjeon]
-
A.
Jeongjeon
chosen
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.
-
B.
Cheong-seok
Cheong-seok is a young Buddhist monk character in the South Korean supernatural horror film "The 8th Night," who becomes involved in a struggle against an ancient evil.
-
C.
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.
-
D.
Seodaejeon-yeok
Seodaejeon-yeok is a major railway station in Daejeon, South Korea, serving regional and high-speed train services on key national lines.
-
E.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407c52c081908704d3a4dd6e853b |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.