Triple
T24921505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegbo |
E618737
|
entity |
| Predicate | hasTypologicalCategory |
P5201
|
FINISHED |
| Object | natural language |
—
|
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: natural language | Statement: [Tegbo, hasTypologicalCategory, natural language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypologicalCategory Context triple: [Tegbo, hasTypologicalCategory, natural language]
-
A.
hasLinguisticTypology
chosen
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
B.
typologicalGroup
Indicates that entities are classified together based on shared structural or typological characteristics.
-
C.
hasTypologicalRelation
Indicates a relationship where two linguistic entities are connected based on shared structural or typological features, such as word order, morphology, or phonological patterns.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
hasLinguisticVariationType
Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 5:28 a.m.