Triple
T18753880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Im |
E458595
|
entity |
| Predicate | frequencyCategoryInKorea |
P133412
|
FINISHED |
| Object | common surname |
—
|
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: common surname | Statement: [Im, frequencyCategoryInKorea, common surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyCategoryInKorea Context triple: [Im, frequencyCategoryInKorea, common surname]
-
A.
frequencyInNorthKorea
Indicates how often something occurs or is present within the context of North Korea.
-
B.
frequencyCategory
Indicates how often an action, event, or relationship occurs, typically by assigning it to a qualitative frequency level (e.g., rare, occasional, frequent).
-
C.
frequencyCategoryInNigeria
Indicates that an entity is classified into a specific frequency usage or allocation category within the context of Nigeria.
-
D.
chartPositionSouthKoreaGaonInternationalChart
Indicates the position an item holds on South Korea’s Gaon International music chart.
-
E.
frequencyRegion
Indicates that something is associated with, occurs within, or is characterized by a particular range or band of frequencies.
- F. None of above. chosen
Provenance (4 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579ef4ee48190a9892ac9787ffe37 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.