Triple
T28427789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Kočevje |
E715035
|
entity |
| Predicate | formerLanguageCommunity |
P195347
|
FINISHED |
| Object | Gottscheerish |
—
|
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: Gottscheerish | Statement: [Municipality of Kočevje, formerLanguageCommunity, Gottscheerish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerLanguageCommunity Context triple: [Municipality of Kočevje, formerLanguageCommunity, Gottscheerish]
-
A.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language community.
-
B.
formerLanguage
Indicates that one entity was previously the language of another entity but is no longer in that role.
-
C.
oneOfLastCommunitiesWhereLanguageSpoken
Indicates that the subject community is among the final remaining communities in which the specified language is still actively spoken.
-
D.
formerLanguageRegion
Indicates that a region previously used a particular language as significant or dominant, but no longer does so.
-
E.
hasNeighboringLanguageCommunity
Indicates that one language community is geographically or socially adjacent to another, allowing for direct contact or interaction between them.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: April 28, 2026, 1:38 a.m.