Triple
T31198934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hixkaryana people |
E795409
|
entity |
| Predicate | linguisticTypologyInterest |
P122050
|
FINISHED |
| Object | basic word order studies |
—
|
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: basic word order studies | Statement: [Hixkaryana people, linguisticTypologyInterest, basic word order studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticTypologyInterest Context triple: [Hixkaryana people, linguisticTypologyInterest, basic word order studies]
-
A.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
B.
linguisticStudies
chosen
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
C.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
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.
languageEcology
Indicates the relationship between a language and its surrounding social, cultural, and environmental context, including how it interacts with and is influenced by other languages and communicative practices.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:09 p.m.