Triple
T5690940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangul Day |
E125425
|
entity |
| Predicate | NorthKoreaObservedOn |
P65972
|
FINISHED |
| Object | January 15 |
—
|
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: January 15 | Statement: [Hangul Day, NorthKoreaObservedOn, January 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NorthKoreaObservedOn Context triple: [Hangul Day, NorthKoreaObservedOn, January 15]
-
A.
currentOffsetInNorthKoreaSince
Indicates that an entity’s current time offset (from a reference time zone or UTC) has been in effect in North Korea since a specified point in time.
-
B.
describedByNorthKoreaAs
Indicates how something or someone is characterized or labeled in descriptions or statements made by North Korea.
-
C.
NorthKoreanCharacterization
Indicates how something or someone is portrayed, described, or framed specifically in relation to North Korea or North Korean attributes.
-
D.
currentOffsetInSouthKoreaSince
Indicates the time offset currently in effect in South Korea, measured relative to a given reference time since a specified starting point.
-
E.
internationalObservation
Indicates that an entity monitors, assesses, or records events or conditions across national borders, often as part of a global or multinational oversight or data-gathering effort.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:44 p.m.