Triple
T5576440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baeggu |
E146329
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Baegu-Baeggu |
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-Baeggu | Statement: [Baeggu, hasAlternativeName, Baegu-Baeggu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baegu-Baeggu Context triple: [Baeggu, hasAlternativeName, Baegu-Baeggu]
-
A.
Baeggu
chosen
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
B.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
C.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
D.
Ondol
Ondol is a traditional Korean underfloor heating system that channels heat from a stove or furnace beneath thick stone floors to warm living spaces.
-
E.
Koryo-saram
Koryo-saram are ethnic Koreans primarily descended from migrants to the Russian Empire and Soviet Union, now living across Central Asia and the former Soviet states with a distinct cultural and historical identity.
- 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_69c02855acac8190bd00219aa9647e98 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.