Triple
T30377174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carijona language |
E772722
|
entity |
| Predicate | spokenByAgeGroup |
P76657
|
FINISHED |
| Object | primarily elderly 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: primarily elderly speakers | Statement: [Carijona language, spokenByAgeGroup, primarily elderly speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenByAgeGroup Context triple: [Carijona language, spokenByAgeGroup, primarily elderly speakers]
-
A.
spokenByGeneration
Indicates that something (such as a statement, text, or utterance) is spoken or produced vocally by a particular generation or age cohort.
-
B.
primarySpeakersAgeGroup
chosen
Indicates the age range category to which the main or primary speakers in a context belong.
-
C.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
D.
spokenByEthnicGroup
Indicates that a particular language, dialect, or speech variety is used or spoken by a specified ethnic group.
-
E.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68515aa2081908bae3de1802bd9df |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8 p.m.