Triple
T16596343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varvarin bridge bombing |
E403215
|
entity |
| Predicate | natureOfTarget |
P9903
|
FINISHED |
| Object | small-town bridge |
—
|
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: small-town bridge | Statement: [Varvarin bridge bombing, natureOfTarget, small-town bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfTarget Context triple: [Varvarin bridge bombing, natureOfTarget, small-town bridge]
-
A.
primaryTargetType
chosen
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
B.
targetOfThreat
Indicates that one entity is the recipient or intended victim of a threat made by another entity.
-
C.
primaryTargetMaterial
Indicates the material that serves as the main or principal target in a given process, action, or interaction.
-
D.
targetsSystems
Indicates that an entity is directed at, attacks, or is intended to affect specific systems.
-
E.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_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. |
Created at: April 10, 2026, 5:16 a.m.