Triple
T8698194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quechuan |
E206453
|
entity |
| Predicate | typicalMorphologicalFeature |
P6520
|
FINISHED |
| Object | extensive suffixation |
—
|
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: extensive suffixation | Statement: [Quechuan, typicalMorphologicalFeature, extensive suffixation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMorphologicalFeature Context triple: [Quechuan, typicalMorphologicalFeature, extensive suffixation]
-
A.
linguisticFeature
chosen
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
B.
morphologicalClass
Indicates the classification of an entity based on its morphological form or structural pattern.
-
C.
relatedMorphologicalFeature
Indicates that one entity is connected to another through a shared or corresponding morphological feature or structure.
-
D.
notableMorphology
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
E.
hasNominalMorphology
Indicates that an entity possesses a system of nominal morphology, such as inflectional or derivational markers on nouns.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58af50408190a3b81100a759795e |
completed | March 31, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:34 p.m.