Triple
T16596345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varvarin bridge bombing |
E403215
|
entity |
| Predicate | civilianPresence |
P123451
|
FINISHED |
| Object | civilians were on or near the bridge at time of attack |
—
|
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: civilians were on or near the bridge at time of attack | Statement: [Varvarin bridge bombing, civilianPresence, civilians were on or near the bridge at time of attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilianPresence Context triple: [Varvarin bridge bombing, civilianPresence, civilians were on or near the bridge at time of attack]
-
A.
policePresence
Indicates that law enforcement officers are present at or monitoring a particular location, event, or situation.
-
B.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
C.
civilianTarget
Indicates that the action or operation is directed at, affects, or designates civilians or civilian objects as the target.
-
D.
civilianResponse
Indicates how civilians react or respond to a particular event, action, or situation.
-
E.
civilianUse
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d723c508190b5afbda5eec5abea |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.