Triple
T21622769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheonggyecheon Stream |
E533618
|
entity |
| Predicate | restorationLedBy |
P13190
|
FINISHED |
| Object | Lee Myung-bak |
—
|
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: Lee Myung-bak | Statement: [Cheonggyecheon Stream, restorationLedBy, Lee Myung-bak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Myung-bak Context triple: [Cheonggyecheon Stream, restorationLedBy, Lee Myung-bak]
-
A.
Lee Myung-bak
chosen
Lee Myung-bak is a South Korean businessman-turned-politician who served as the President of South Korea from 2008 to 2013.
-
B.
Roh Moo-hyun
Roh Moo-hyun was a South Korean human rights lawyer-turned-politician who served as the country’s president from 2003 to 2008, known for his reformist agenda and efforts to engage North Korea.
-
C.
Roh Tae-woo
Roh Tae-woo was a South Korean army general-turned-politician who served as the country’s president from 1988 to 1993, overseeing its transition toward greater democratization and hosting the 1988 Seoul Olympics.
-
D.
박근혜
박근혜는 대한민국의 제18대 대통령으로, 한국 최초의 여성 대통령이자 박정희 전 대통령의 딸이다.
-
E.
이건희
이건희는 삼성그룹을 세계적인 전자·IT 기업으로 성장시킨 대한민국의 대표적인 기업가이자 경영자이다.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bb0c42c8190997fbeb7a764d60e |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.