Triple
T20005939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child of Deaf Adults |
E494460
|
entity |
| Predicate | languageAcquisitionContext |
P138335
|
FINISHED |
| Object | sign language often acquired as a first language |
—
|
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: sign language often acquired as a first language | Statement: [Child of Deaf Adults, languageAcquisitionContext, sign language often acquired as a first language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageAcquisitionContext Context triple: [Child of Deaf Adults, languageAcquisitionContext, sign language often acquired as a first language]
-
A.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
B.
languageOfInstitutionalContext
Indicates the language used as the primary medium of communication within an institutional setting or context.
-
C.
languageOfDevelopment
Indicates the programming or natural language used to develop, implement, or create a given entity.
-
D.
languageCapacity
Indicates the extent to which an entity is able to understand, produce, or otherwise use language.
-
E.
linguisticTarget
Indicates that something serves as the specific linguistic element (such as a word, phrase, or expression) that is the focus or target of a given action, analysis, or relation.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a57ef881909115c8aa232b1012 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.