Triple
T38263905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chonhar checkpoint |
E1017999
|
entity |
| Predicate | regionDispute |
P62867
|
FINISHED |
| Object | Crimea territorial dispute |
—
|
NE NERFINISHED |
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: Crimea territorial dispute | Statement: [Chonhar checkpoint, regionDispute, Crimea territorial dispute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionDispute Context triple: [Chonhar checkpoint, regionDispute, Crimea territorial dispute]
-
A.
hasDisputedSector
Indicates that there exists a sector or area whose ownership, control, or status between the related entities is contested or not mutually agreed upon.
-
B.
disputeOrigin
Indicates that there is disagreement or uncertainty about the source, cause, or initial point of something.
-
C.
significantDispute
Indicates a serious, often prolonged disagreement or conflict exists between the involved entities.
-
D.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
E.
associatedTerritoryDispute
chosen
Indicates that there is a territorial dispute or contested claim connected to the referenced entity or relationship.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a008c77d4dc8190b342d7407eaf48fa |
completed | May 10, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_6a008c18531c8190bbe883b73e6d023f |
completed | May 10, 2026, 1:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.