Triple
T22888385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namuyi language |
E567666
|
entity |
| Predicate | spokenByChildren |
P14809
|
FINISHED |
| Object | decreasingly |
—
|
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: decreasingly | Statement: [Namuyi language, spokenByChildren, decreasingly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenByChildren Context triple: [Namuyi language, spokenByChildren, decreasingly]
-
A.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
B.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
-
C.
spokenByGeneration
chosen
Indicates that something (such as a statement, text, or utterance) is spoken or produced vocally by a particular generation or age cohort.
-
D.
childInStory
Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
-
E.
narratedByCharacters
Indicates that the events or content of a work are told or recounted by specific characters within that work.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.