Triple
T11166900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangu (Bantu language) |
E264181
|
entity |
| Predicate | hasDerivationalProcess |
P75423
|
FINISHED |
| Object | causative verb extension |
—
|
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: causative verb extension | Statement: [Sangu (Bantu language), hasDerivationalProcess, causative verb extension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDerivationalProcess Context triple: [Sangu (Bantu language), hasDerivationalProcess, causative verb extension]
-
A.
hasPrimaryWordFormationProcess
Indicates that one entity is the main or predominant word-formation process by which another entity (typically a word or lexical item) is formed.
-
B.
hasWordFormation
chosen
Indicates that one linguistic unit is formed or derived from another through a specific word-formation process (such as compounding, derivation, or affixation).
-
C.
hasRootWord
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
D.
hasVerbalMorphology
Indicates that one linguistic element exhibits verbal inflectional properties or patterns in relation to another.
-
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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.