Triple
T30026285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minyong |
E762889
|
entity |
| Predicate | sharesLinguisticAffinityWith |
P10003
|
FINISHED |
| Object | Adi subgroup 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: Adi subgroup languages | Statement: [Minyong, sharesLinguisticAffinityWith, Adi subgroup languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesLinguisticAffinityWith Context triple: [Minyong, sharesLinguisticAffinityWith, Adi subgroup languages]
-
A.
sharesLinguisticFamilyWith
Indicates that two languages belong to the same linguistic family or branch within a language family.
-
B.
hasLanguageSimilarTo
Indicates that one entity uses or is associated with a language that is similar or closely related to the language used or associated with another entity.
-
C.
linguisticallyRelatedTo
chosen
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
D.
hasCommonLoanwordsFrom
Indicates that two languages share loanwords that originate from the same source language.
-
E.
hasLinguisticAffiliation
Indicates a relationship where an entity is associated with or belongs to a particular language or linguistic group.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 29, 2026, 6:48 p.m.