Triple
T7377830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunigami |
E170170
|
entity |
| Predicate | youngerGenerationFluency |
P76658
|
FINISHED |
| Object | declining |
—
|
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: declining | Statement: [Kunigami, youngerGenerationFluency, declining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerGenerationFluency Context triple: [Kunigami, youngerGenerationFluency, declining]
-
A.
historicalPeriodOfFluency
Indicates the time period during which an entity was fluent or actively proficient in a particular language or skill.
-
B.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
C.
languageCapacity
Indicates the extent to which an entity is able to understand, produce, or otherwise use language.
-
D.
firstGeneration
Indicates that an entity belongs to the first generation within a defined lineage, sequence, or series relative to other related entities.
-
E.
feedsYoungWith
Indicates that an entity provides food or nourishment directly to its young.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1aa12888190b81e37b9fcd2adc0 |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0ebf9c88190af5a4d87d3fd338a |
completed | March 27, 2026, 9:04 p.m. |
Created at: March 27, 2026, 3:08 p.m.