Triple
T23579371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea |
E582154
|
entity |
| Predicate | colonizationStartYear |
P153254
|
FINISHED |
| Object | 1910 |
—
|
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: 1910 | Statement: [Korea, colonizationStartYear, 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonizationStartYear Context triple: [Korea, colonizationStartYear, 1910]
-
A.
colonizationCenturyBC
Indicates the century before the Common Era in which a colonization event or process took place.
-
B.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
C.
wasLaterColonizedBy
Indicates that one entity became a colony of another entity at a later point in time than some referenced event or colonization.
-
D.
conquestYear
Indicates the year in which one entity successfully conquered or took control over another entity.
-
E.
colonialPowerAtFirstArrival
Indicates that a specified colonial power was the first to arrive and establish a presence or control in a given territory or region.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1afd8e5ec81909fbdcf68bc14078e |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:39 p.m.