Triple
T5049129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaesong Industrial Region |
E113740
|
entity |
| Predicate | numberOfNorthKoreanWorkersAtPeak |
P4549
|
FINISHED |
| Object | over 50,000 |
—
|
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: over 50,000 | Statement: [Kaesong Industrial Region, numberOfNorthKoreanWorkersAtPeak, over 50,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNorthKoreanWorkersAtPeak Context triple: [Kaesong Industrial Region, numberOfNorthKoreanWorkersAtPeak, over 50,000]
-
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.
NorthKoreanCharacterization
Indicates how something or someone is portrayed, described, or framed specifically in relation to North Korea or North Korean attributes.
-
C.
describedByNorthKoreaAs
Indicates how something or someone is characterized or labeled in descriptions or statements made by North Korea.
-
D.
memberCountAtPeak
chosen
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
E.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.