Triple
T19289457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeoksam-dong |
E482400
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object | Mayor of Seoul |
—
|
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: Mayor of Seoul | Statement: [Yeoksam-dong, governedBy, Mayor of Seoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayor of Seoul Context triple: [Yeoksam-dong, governedBy, Mayor of Seoul]
-
A.
Mayor of Seoul
chosen
The Mayor of Seoul is the elected head of the Seoul Metropolitan Government, responsible for governing South Korea’s capital city and overseeing its administration, urban policy, and public services.
-
B.
Mayor of Suwon
The Mayor of Suwon is the elected chief executive responsible for governing and administering the city of Suwon in South Korea.
-
C.
Mayor of Gwangju
The Mayor of Gwangju is the elected head of the municipal government of Gwangju, a major metropolitan city in South Korea.
-
D.
Mayor of Daejeon
The Mayor of Daejeon is the elected head of the local government responsible for administering and representing the metropolitan city of Daejeon in South Korea.
-
E.
Mayor of Hwaseong
The Mayor of Hwaseong is the chief elected official responsible for governing the city of Hwaseong in South Korea and overseeing its municipal administration and policies.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.