Triple
T38221914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transeurasian hypothesis |
E1012033
|
entity |
| Predicate | sometimesExcludes |
P190311
|
FINISHED |
| Object | Koreanic |
—
|
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: Koreanic | Statement: [Transeurasian hypothesis, sometimesExcludes, Koreanic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sometimesExcludes Context triple: [Transeurasian hypothesis, sometimesExcludes, Koreanic]
-
A.
sometimesIncluded
Indicates that one entity is occasionally, but not always, contained within, part of, or present in association with another entity.
-
B.
excludes
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
C.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
D.
isExcludedFor
Indicates that a particular entity is not allowed, applicable, or considered within a specified context, condition, or set.
-
E.
sometimesProvides
Indicates that one entity occasionally or intermittently provides something (such as a service, resource, or support) to another entity, but not on a consistent or guaranteed basis.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:30 p.m.