Triple
T11043046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kramatorsk |
E261065
|
entity |
| Predicate | wasOccupied |
P61153
|
FINISHED |
| Object | partially by pro-Russian separatist forces in 2014 |
—
|
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: partially by pro-Russian separatist forces in 2014 | Statement: [Kramatorsk, wasOccupied, partially by pro-Russian separatist forces in 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOccupied Context triple: [Kramatorsk, wasOccupied, partially by pro-Russian separatist forces in 2014]
-
A.
wasOccupiedDuring
Indicates that an entity was under the control, presence, or use of another entity throughout a specified time period.
-
B.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
-
C.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
-
D.
wasPartiallyOccupiedBy
chosen
Indicates that an entity was, for a limited extent or portion of its space or duration, occupied or taken up by another entity.
-
E.
reoccupiedIn
Indicates that an entity came back to occupy or take control of a place or position again at a specified time or during a specified period.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982d42bc81908ac10f54a7b43fb7 |
completed | April 9, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.