Triple
T8192146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan Metropolitan City Hall |
E191335
|
entity |
| Predicate | governmentOfficeFor |
P9655
|
FINISHED |
| Object | municipal administration |
—
|
LITERAL 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: municipal administration | Statement: [Busan Metropolitan City Hall, governmentOfficeFor, municipal administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentOfficeFor Context triple: [Busan Metropolitan City Hall, governmentOfficeFor, municipal administration]
-
A.
governingOffice
Indicates the official position or office through which an entity exercises governing authority over a jurisdiction or organization.
-
B.
governmentOfficeOrTitleOf
chosen
Indicates that one entity is a government office or official title held by, associated with, or designating the role of another entity.
-
C.
governmentCategory
Indicates the type or classification of a government associated with an entity.
-
D.
governmentOf
Indicates that one entity serves as the governing authority or administrative body of another entity, typically a state, region, or organization.
-
E.
governmentBranch
Indicates that one entity functions as an official division or branch within the structure of a government.
- F. None of above.
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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da4a6f08190be8088a28d928341 |
completed | March 31, 2026, 4:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:42 p.m.