Triple
T24149587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagan Kim clan |
E598490
|
entity |
| Predicate | scriptTransliterationSystem |
P107909
|
FINISHED |
| Object | Revised Romanization of Korean |
—
|
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: Revised Romanization of Korean | Statement: [Nagan Kim clan, scriptTransliterationSystem, Revised Romanization of Korean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptTransliterationSystem Context triple: [Nagan Kim clan, scriptTransliterationSystem, Revised Romanization of Korean]
-
A.
commonTransliterationSystem
Indicates that two or more written forms are derived using the same standardized system for converting text from one script to another.
-
B.
standardTransliteration
Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
-
C.
formerTransliteration
Indicates that one transliteration was previously used for an entity but has since been replaced by a different transliteration.
-
D.
transliterationType
chosen
Indicates the specific system or method used to convert text from one writing system into another using corresponding characters.
-
E.
transliterationTarget
Indicates that one entity is the target script or form into which another entity is transliterated.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00e025c81908cacfcfa0819c73f |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.