Triple
T21064541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Orchard |
E518931
|
entity |
| Predicate | preemptiveOrRetaliatory |
P16803
|
FINISHED |
| Object | preemptive strike |
—
|
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: preemptive strike | Statement: [Operation Orchard, preemptiveOrRetaliatory, preemptive strike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preemptiveOrRetaliatory Context triple: [Operation Orchard, preemptiveOrRetaliatory, preemptive strike]
-
A.
preempts
chosen
Indicates that one action, decision, or rule takes priority over and prevents the application or effect of another.
-
B.
counterattackBy
Indicates that an entity launches a retaliatory attack in response to an initial attack carried out by another entity.
-
C.
belligerentAgainst
Indicates a hostile or aggressive stance, conflict, or antagonistic behavior directed by one entity against another.
-
D.
methodOfRevenge
Indicates a relationship where a specific action or strategy is used as the means by which revenge is carried out.
-
E.
belligerentObjective
Indicates that an entity is the target or objective of hostile or warlike actions by another entity.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb29e388190a80fa969a4daa606 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:44 p.m.