Triple
T10483778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amerind (linguistic macro-family hypothesis) |
E247238
|
entity |
| Predicate | languageGroupingType |
P27696
|
FINISHED |
| Object | macro-family hypothesis rather than demonstrated family |
—
|
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: macro-family hypothesis rather than demonstrated family | Statement: [Amerind (linguistic macro-family hypothesis), languageGroupingType, macro-family hypothesis rather than demonstrated family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageGroupingType Context triple: [Amerind (linguistic macro-family hypothesis), languageGroupingType, macro-family hypothesis rather than demonstrated family]
-
A.
macrolanguageGrouping
chosen
Indicates that one language is classified as part of a broader macrolanguage grouping that encompasses multiple closely related language varieties.
-
B.
vernacularGrouping
Indicates a relationship where entities are grouped together based on a shared vernacular, such as common local language, dialect, or colloquial naming.
-
C.
localeType
Indicates the classification or category of a locale (such as region, city, or venue type) that characterizes the kind of place involved in the relationship.
-
D.
languageFamilyCode
Indicates the language family to which a given language belongs, represented by a standardized code.
-
E.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an entity.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:22 p.m.