Triple
T24281113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Treasure of South Korea |
E605541
|
entity |
| Predicate | exampleIncludes |
P100896
|
FINISHED |
| Object | Seokguram Grotto |
—
|
NE NERFINISHED |
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: Seokguram Grotto | Statement: [National Treasure of South Korea, exampleIncludes, Seokguram Grotto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleIncludes Context triple: [National Treasure of South Korea, exampleIncludes, Seokguram Grotto]
-
A.
testIncludes
Indicates that one test or test suite contains, encompasses, or covers another test, set of tests, or test elements.
-
B.
outputIncludes
Indicates that the result or product of a process, function, or action contains or incorporates a specified element or component.
-
C.
sourcesInclude
Indicates that one entity’s content, data, or information is derived from, references, or incorporates material from another specified source.
-
D.
includesExamplesSuchAs
chosen
Indicates that one entity provides specific instances or samples that illustrate or clarify another entity.
-
E.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f5227888190b1713af150fa30a1 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.