Triple
T33342368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teke-Eboo languages |
E853704
|
entity |
| Predicate | haveMorphologicalFeatures |
P7162
|
FINISHED |
| Object | noun class system |
—
|
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: noun class system | Statement: [Teke-Eboo languages, haveMorphologicalFeatures, noun class system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveMorphologicalFeatures Context triple: [Teke-Eboo languages, haveMorphologicalFeatures, noun class system]
-
A.
hasMorphologicalPattern
Indicates that one entity exhibits or follows a specific morphological pattern defined or associated with another entity.
-
B.
hasMorphosyntax
Indicates a relationship where an entity is associated with, characterized by, or analyzed in terms of its morphological and syntactic structure.
-
C.
hasVerbalMorphology
Indicates that one linguistic element exhibits verbal inflectional properties or patterns in relation to another.
-
D.
hasLinguisticFeature
chosen
Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
-
E.
hasMorphosyntacticBasis
Indicates that one linguistic element’s form or syntactic behavior is grounded in, derived from, or systematically determined by another element’s morphosyntactic properties.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.