Triple
T29351055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Kurdish |
E744313
|
entity |
| Predicate | usesErgativeAlignment |
P76654
|
FINISHED |
| Object | partially |
—
|
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: partially | Statement: [Northern Kurdish, usesErgativeAlignment, partially]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesErgativeAlignment Context triple: [Northern Kurdish, usesErgativeAlignment, partially]
-
A.
grammaticalAlignment
chosen
Indicates how a language aligns core grammatical roles (such as subject, object, or agent, patient) in its case marking or agreement system.
-
B.
eraAlignment
Indicates that two entities are associated with, or correspond to, the same historical or temporal era.
-
C.
grammaticalCaseSystem
Indicates a relationship where a language employs a system of grammatical cases to mark the roles and relationships of nouns and related elements in sentences.
-
D.
areAgglutinativeLanguages
Indicates that the related languages primarily form words by stringing together distinct morphemes, each carrying a specific grammatical meaning, in a clear and segmentable way.
-
E.
isInflectedLanguage
Indicates that a language uses systematic changes in word form (inflections) to express grammatical categories such as tense, case, number, or gender.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 2:06 p.m.