Triple
T36450282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimean toponymy |
E897989
|
entity |
| Predicate | includesOikonyms |
P204876
|
FINISHED |
| Object | names of settlements in Crimea |
—
|
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: names of settlements in Crimea | Statement: [Crimean toponymy, includesOikonyms, names of settlements in Crimea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOikonyms Context triple: [Crimean toponymy, includesOikonyms, names of settlements in Crimea]
-
A.
hasExonym
Indicates that one entity is known by an alternative name or designation in another language or cultural context.
-
B.
commonInOnomastics
Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
-
C.
hasGlossonym
Indicates a relationship where an entity is associated with the specific name or term used to refer to a language (its glossonym).
-
D.
hasToponymicDerivatives
Indicates that a name or term serves as the source from which related place-based or toponymic names are derived.
-
E.
nameCognateOf
Indicates that two names share a common linguistic origin or form, typically due to derivation from the same root or historical source.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.