Triple
T20413237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumong |
E500641
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jolbon |
—
|
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: Jolbon | Statement: [Jumong, associatedWith, Jolbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jolbon Context triple: [Jumong, associatedWith, Jolbon]
-
A.
Jolbon
chosen
Jolbon was an early capital city of the ancient Korean kingdom of Goguryeo, associated with its founding period and initial royal seat.
-
B.
Jelbi
Jelbi is a mobility app by Berlin’s public transport operator that integrates various transport options like buses, trains, bikes, and scooters into a single platform for planning and booking trips.
-
C.
Jabonga
Jabonga is a coastal municipality in the province of Agusan del Norte in the Caraga region of Mindanao, Philippines.
-
D.
Jalonke
Jalonke is a Mande language spoken primarily in Guinea and neighboring West African countries by the Jalonke (Yalunka) people.
-
E.
Jebali
Jebali is a Tunisian surname most notably associated with politician and former Prime Minister Hamadi Jebali.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a417f208190be9bc11650ee0a87 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.