Triple
T34121950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lomavren |
E875162
|
entity |
| Predicate | hasPrimarilyLexicalOrigin |
P3083
|
FINISHED |
| Object | Indo-Aryan |
E7769
|
NE 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: Indo-Aryan | Statement: [Lomavren, hasPrimarilyLexicalOrigin, Indo-Aryan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarilyLexicalOrigin Context triple: [Lomavren, hasPrimarilyLexicalOrigin, Indo-Aryan]
-
A.
hasLexicalCategoryOfOrigin
Indicates that one entity originates from, or is derived based on, the lexical category (such as noun, verb, adjective, etc.) of another entity.
-
B.
primaryLexifierLanguage
chosen
Indicates the main source language from which the core vocabulary and structure of another language, typically a contact or creole language, are primarily derived.
-
C.
hasPrimaryVernacularLanguageFamily
Indicates that an entity’s main vernacular language belongs to a specified language family.
-
D.
hasMajorLexifier
Indicates that a language has another language as its primary lexical source or main contributor of its vocabulary.
-
E.
hasLexicalInfluenceOn
Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
- F. None of above.
Provenance (4 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0249374a8c8190ab19002a123da439 |
completed | May 11, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36c1c0ec00819093687486e2aca859 |
completed | June 20, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_6a02486194b08190a489ae3a8f4a59a9 |
completed | May 11, 2026, 9:21 p.m. |
Created at: May 1, 2026, 1:53 a.m.