Triple
T20055655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiryeseong |
E499324
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Sabi |
—
|
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: Sabi | Statement: [Wiryeseong, precedes, Sabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabi Context triple: [Wiryeseong, precedes, Sabi]
-
A.
Sabi
Sabi is an American singer and rapper best known for her pop and dance music collaborations, including work with artists like Cobra Starship.
-
B.
Sabi
chosen
Sabi was an ancient Korean city that served as the later capital of the Baekje kingdom and a major political and cultural center on the Korean Peninsula.
-
C.
Sacaba
Sacaba is a Bolivian city in the Cochabamba metropolitan area known for its agricultural production and traditional festivals.
-
D.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
-
E.
He Sapa
He Sapa is the Lakota name for the Black Hills, a region in present-day South Dakota and Wyoming that holds profound spiritual and cultural significance for the Lakota and other Indigenous peoples.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66332b300819097f5dca1636e5822 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.