Triple
T35373723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torricelli languages |
E1021846
|
entity |
| Predicate | languageContactEffects |
P22730
|
FINISHED |
| Object | lexical borrowing from neighboring Papuan languages |
—
|
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: lexical borrowing from neighboring Papuan languages | Statement: [Torricelli languages, languageContactEffects, lexical borrowing from neighboring Papuan languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageContactEffects Context triple: [Torricelli languages, languageContactEffects, lexical borrowing from neighboring Papuan languages]
-
A.
ethnolinguisticInfluence
Indicates how one ethnolinguistic group or language affects, shapes, or contributes to the characteristics, practices, or development of another.
-
B.
languageContactWith
chosen
Indicates a relationship where two or more languages come into contact through their speakers, leading to interaction and potential mutual influence.
-
C.
linguisticInfluence
Indicates that one entity has affected, shaped, or contributed to the language, style, or linguistic features of another entity.
-
D.
languageInfluence
Indicates that one language has an effect on the development, usage, or characteristics of another language.
-
E.
languageOfInfluence
Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
Created at: May 3, 2026, 4:03 p.m.