Triple
T10730483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eumseong County flag |
E253058
|
entity |
| Predicate | scriptUsedOnFlag |
P4961
|
FINISHED |
| Object | Hangul |
—
|
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: Hangul | Statement: [Eumseong County flag, scriptUsedOnFlag, Hangul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedOnFlag Context triple: [Eumseong County flag, scriptUsedOnFlag, Hangul]
-
A.
scriptOnFlag
chosen
Indicates that a script is attached to and/or executed when a specific flag or condition is set.
-
B.
scriptUsedCurrently
Indicates that a particular writing system or script is the one presently in use for a given language, text, or context.
-
C.
scriptUsedForLanguage
Indicates that a particular writing script is employed to write or represent a given language.
-
D.
flagUsedIn
Indicates that a particular flag is employed or referenced within a given context, such as a program, configuration, or process.
-
E.
flagUsedBy
Indicates that a particular flag is officially used by a specified entity, such as a country, organization, or group.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.