Triple
T24626188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1871 United States expedition to Korea |
E609546
|
entity |
| Predicate | capturedItems |
P14511
|
FINISHED |
| Object | Korean flags |
—
|
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: Korean flags | Statement: [1871 United States expedition to Korea, capturedItems, Korean flags]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedItems Context triple: [1871 United States expedition to Korea, capturedItems, Korean flags]
-
A.
capturedEquipment
chosen
Indicates that one party has taken possession of another party’s equipment, typically as a result of conflict, competition, or enforcement.
-
B.
capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
-
C.
capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
-
D.
capturedUsing
Indicates that something was recorded, obtained, or documented by means of a specified tool, method, or device.
-
E.
possessedItem
Indicates that one entity owns, holds, or has control over another entity as a possession.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.