Triple
T5426554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Quarter (Oslo) |
E121376
|
entity |
| Predicate | postAttackProcess |
P17508
|
FINISHED |
| Object | security assessment |
—
|
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: security assessment | Statement: [Government Quarter (Oslo), postAttackProcess, security assessment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postAttackProcess Context triple: [Government Quarter (Oslo), postAttackProcess, security assessment]
-
A.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
B.
resultOfSecondAttack
Indicates that an event or state occurs as a consequence of a second attack in a sequence of attacks.
-
C.
handledAftermathOf
chosen
Indicates that one entity took responsibility for dealing with the consequences or fallout that occurred after another entity’s actions or events.
-
D.
attacks
Indicates that one entity initiates an aggressive or harmful action directed toward another entity.
-
E.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.