Triple
T16184640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burúśaski |
E392767
|
entity |
| Predicate | hasVerbalAgreement |
P48763
|
FINISHED |
| Object | agreement with subject |
—
|
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: agreement with subject | Statement: [Burúśaski, hasVerbalAgreement, agreement with subject]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerbalAgreement Context triple: [Burúśaski, hasVerbalAgreement, agreement with subject]
-
A.
hasVerbalSystem
Indicates that an entity possesses or is characterized by a particular system of verbal or spoken language forms and structures.
-
B.
hasVerbalFeature
chosen
Indicates that an entity possesses a specific verbal property, characteristic, or behavior related to speech or language.
-
C.
hasVerbalMorphology
Indicates that one linguistic element exhibits verbal inflectional properties or patterns in relation to another.
-
D.
hasVerbAspect
Indicates that a verb or verbal expression is associated with a particular grammatical aspect (such as perfective, imperfective, or progressive) describing the temporal structure of the action or state.
-
E.
hasVerbalSuffixes
Indicates that a language, word, or grammatical form possesses specific suffixes that are attached to verbs.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.