Triple
T31463820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian Sign Language |
E802670
|
entity |
| Predicate | hasAcquisitionMode |
P100170
|
FINISHED |
| Object | first language for many Deaf children in Romania |
—
|
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: first language for many Deaf children in Romania | Statement: [Romanian Sign Language, hasAcquisitionMode, first language for many Deaf children in Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcquisitionMode Context triple: [Romanian Sign Language, hasAcquisitionMode, first language for many Deaf children in Romania]
-
A.
acquisitionMode
chosen
Indicates the method or process by which one entity obtains, receives, or gains another entity or resource.
-
B.
hasAcquisitionType
Indicates the specific kind or category of acquisition relationship that exists between one entity acquiring another.
-
C.
hasAcquisition
Indicates that one entity has acquired ownership or control of another entity, typically through a purchase or merger transaction.
-
D.
usesAcquisitionModel
Indicates that one entity employs or applies a particular acquisition model as the method or framework for obtaining something.
-
E.
hasInteractionMode
Indicates the way in which two entities engage or interact with each other, specifying the manner, channel, or pattern of their interaction.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 30, 2026, 9:21 p.m.