Triple
T10778486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dené–Caucasian |
E254255
|
entity |
| Predicate | proposesLinkBetween |
P56226
|
FINISHED |
| Object | Na-Dene and Yeniseian |
—
|
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: Na-Dene and Yeniseian | Statement: [Dené–Caucasian, proposesLinkBetween, Na-Dene and Yeniseian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesLinkBetween Context triple: [Dené–Caucasian, proposesLinkBetween, Na-Dene and Yeniseian]
-
A.
proposedRelationship
chosen
Indicates that one entity has suggested or put forward the possibility of entering into a specific type of relationship with another entity.
-
B.
formsPrimaryLinkBetween
Indicates that one entity serves as the main or most important connection or linkage between two other entities.
-
C.
relatedProposal
Indicates that one proposal has a specified relationship or association with another proposal.
-
D.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
E.
definesRelationshipBetween
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c25478819093dedec0c8556777 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.