Triple
T33846730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fur region |
E867500
|
entity |
| Predicate | hasEthnicGroupWithLanguage |
P155517
|
FINISHED |
| Object | Fur people – Fur language |
—
|
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: Fur people – Fur language | Statement: [Fur region, hasEthnicGroupWithLanguage, Fur people – Fur language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicGroupWithLanguage Context triple: [Fur region, hasEthnicGroupWithLanguage, Fur people – Fur language]
-
A.
ethnicGroupLanguageOf
chosen
Indicates that a particular language is spoken by, associated with, or characteristic of a given ethnic group.
-
B.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
C.
hasEthnolinguisticPresence
Indicates that a particular ethnolinguistic group is present or represented within a specified place, context, or population.
-
D.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
E.
majorLanguageGroupOf
Indicates that one language group is the primary or dominant linguistic classification to which another language or set of languages belongs.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:47 a.m.