Triple
T5806163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhaeto-Romance languages |
E128747
|
entity |
| Predicate | hasContactInfluenceFrom |
P66629
|
FINISHED |
| Object | Germanic 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: Germanic languages | Statement: [Rhaeto-Romance languages, hasContactInfluenceFrom, Germanic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContactInfluenceFrom Context triple: [Rhaeto-Romance languages, hasContactInfluenceFrom, Germanic languages]
-
A.
hasBoundaryInfluenceFrom
Indicates that the boundary or limits of one entity are affected, shaped, or determined by another entity.
-
B.
hasPossibleInfluence
Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
-
C.
influencedPerson
Indicates that one entity has affected, shaped, or guided the thoughts, behavior, or development of another person.
-
D.
hasContactRole
Indicates that an entity serves in a specific role or capacity as a contact for another entity.
-
E.
hasNotableConnectionTo
Indicates a significant or noteworthy relationship, association, or link exists between two entities.
- F. None of above. chosen
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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b15d8108190b434da42631c4e0c |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b10def8819080859bc6505405ed |
completed | March 22, 2026, 5:46 p.m. |
Created at: March 22, 2026, 3:52 p.m.