Triple
T29316337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Amud Anan |
E743389
|
entity |
| Predicate | airstrikesTargeted |
P136651
|
FINISHED |
| Object | rocket launch sites in Gaza |
—
|
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: rocket launch sites in Gaza | Statement: [Operation Amud Anan, airstrikesTargeted, rocket launch sites in Gaza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airstrikesTargeted Context triple: [Operation Amud Anan, airstrikesTargeted, rocket launch sites in Gaza]
-
A.
airStrikes
Indicates that one party conducts aerial attacks, typically using aircraft or drones, against a target or opposing party.
-
B.
bombardmentMilitaryTargets
Indicates the action of directing explosive or artillery attacks specifically against military objectives or installations.
-
C.
bombingObjective
chosen
Indicates that one entity is the intended target or goal of a bombing action carried out by another entity.
-
D.
coordinatedAttacksAlsoTargeted
Indicates that in a set of coordinated attacks, the same target was also attacked as part of those coordinated actions.
-
E.
involvedAirOperations
Indicates that an entity participated in or contributed to the planning, support, or execution of air-based military or aviation operations.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665ec3ee481909ae35e76899a7056 |
completed | May 2, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:20 p.m.