Triple
T24416048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rục language |
E615583
|
entity |
| Predicate | ageDistribution |
P56466
|
FINISHED |
| Object | fewer fluent child speakers |
—
|
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: fewer fluent child speakers | Statement: [Rục language, ageDistribution, fewer fluent child speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDistribution Context triple: [Rục language, ageDistribution, fewer fluent child speakers]
-
A.
populationAge
Indicates the age or age distribution of a population associated with an entity.
-
B.
ageGroupStructure
chosen
Indicates how a population or set of entities is distributed across different age groups or age categories.
-
C.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
D.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
E.
numberOfAges
Indicates the count of distinct ages associated with an entity or within a specified group or context.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29584d7b88190b35843d3c4e81e03 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.