Triple
T32137748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kostiantynivka |
E820816
|
entity |
| Predicate | hasNearbyConflictZone |
P39585
|
FINISHED |
| Object | frontline areas in Donetsk Oblast |
—
|
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: frontline areas in Donetsk Oblast | Statement: [Kostiantynivka, hasNearbyConflictZone, frontline areas in Donetsk Oblast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyConflictZone Context triple: [Kostiantynivka, hasNearbyConflictZone, frontline areas in Donetsk Oblast]
-
A.
hasNotableNearbyEntity
chosen
Indicates that one entity has another significant or noteworthy entity located in its close physical or contextual proximity.
-
B.
hasNearbyBoundary
Indicates that one entity’s boundary lies close to, but does not necessarily touch or coincide with, the boundary of another entity.
-
C.
hasNeighboringZone
Indicates that one zone is directly adjacent to or shares a boundary with another zone.
-
D.
hasNearbyEntityType
Indicates that an entity has at least one other entity of a specified type located within a defined nearby spatial or contextual range.
-
E.
hasNearbyPoint
Indicates that one entity has at least one other point located within a specified proximity or distance from it.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 1, 2026, 12:30 a.m.