Triple
T31973093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kula |
E816366
|
entity |
| Predicate | hasLinguisticResourceType |
P123800
|
FINISHED |
| Object | grammatical descriptions (limited) |
—
|
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: grammatical descriptions (limited) | Statement: [Kula, hasLinguisticResourceType, grammatical descriptions (limited)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticResourceType Context triple: [Kula, hasLinguisticResourceType, grammatical descriptions (limited)]
-
A.
hasLinguisticDataType
Indicates that something is associated with or characterized by a specific type or category of linguistic data.
-
B.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
-
C.
hasLanguageResources
chosen
Indicates that an entity possesses or provides resources related to a particular language, such as tools, materials, or services supporting its use or study.
-
D.
hasLinguisticElement
Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
-
E.
hasLinguisticVariationType
Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 1, 2026, 12:10 a.m.