Triple
T25766842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teiwa language |
E648904
|
entity |
| Predicate | hasBasicClauseType |
P58758
|
FINISHED |
| Object | transitive and intransitive clauses |
—
|
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: transitive and intransitive clauses | Statement: [Teiwa language, hasBasicClauseType, transitive and intransitive clauses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasicClauseType Context triple: [Teiwa language, hasBasicClauseType, transitive and intransitive clauses]
-
A.
hasClauseStructure
Indicates that one linguistic unit exhibits a particular internal clause configuration or pattern in relation to another specified clause structure.
-
B.
typeOfClause
chosen
Indicates the specific kind or category of clause that a given clause instance belongs to.
-
C.
hasBasicUnit
Indicates that one entity is composed of, defined by, or fundamentally characterized through another entity that serves as its basic or minimal unit.
-
D.
hasCriterionType
Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
-
E.
hasStandardType
Indicates that something conforms to or is categorized under a defined standard classification or type.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 22, 2026, 5:11 a.m.