Triple
T8225992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Brussels bombings |
E192172
|
entity |
| Predicate | securityAlertLevelInBelgium |
P81731
|
FINISHED |
| Object | raised to highest level |
—
|
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: raised to highest level | Statement: [2016 Brussels bombings, securityAlertLevelInBelgium, raised to highest level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityAlertLevelInBelgium Context triple: [2016 Brussels bombings, securityAlertLevelInBelgium, raised to highest level]
-
A.
numberOfVictimsFromBelgium
Indicates the count of victims whose origin or nationality is Belgium.
-
B.
passengerTrafficRankInBelgium
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Belgium.
-
C.
countryMonitored
Indicates that one country is being observed, supervised, or kept under surveillance by another entity or authority.
-
D.
otherRegionsOfBelgium
Indicates that the related entities are regions of Belgium that are distinct from a specified primary Belgian region.
-
E.
chartPositionBelgiumWallonia
Indicates the position or ranking of something on the music charts specifically in the Wallonia region of Belgium.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77fc10f48190b7e241c89885a478 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4d9b03108190a6785834f21ff75e |
completed | March 31, 2026, 4:29 a.m. |
Created at: March 30, 2026, 5:45 p.m.