Triple
T24798948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguna–Tongoa languages |
E620466
|
entity |
| Predicate | haveMorphologyType |
P1250
|
FINISHED |
| Object | moderately analytic |
—
|
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: moderately analytic | Statement: [Nguna–Tongoa languages, haveMorphologyType, moderately analytic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveMorphologyType Context triple: [Nguna–Tongoa languages, haveMorphologyType, moderately analytic]
-
A.
hasMorphologicalType
chosen
Indicates that an entity possesses or is classified by a particular morphological type or structural form.
-
B.
hasMorphologicalState
Indicates that an entity possesses or is characterized by a particular morphological condition, form, or structural state.
-
C.
hasMorphosyntax
Indicates a relationship where an entity is associated with, characterized by, or analyzed in terms of its morphological and syntactic structure.
-
D.
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.
-
E.
hasMorphologicalMix
Indicates that an entity exhibits a combination of different morphological types or structures within a single form or system.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f412a8d7d081909a4b961eadefd30e |
completed | May 1, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:49 a.m.