Triple
T27172629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عماد فايز مغنية |
E682959
|
entity |
| Predicate | الجهة التي نُسب إليها الاغتيال |
P108209
|
FINISHED |
| Object | الولايات المتحدة |
—
|
NE NERFINISHED |
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: الولايات المتحدة | Statement: [عماد فايز مغنية, الجهة التي نُسب إليها الاغتيال, الولايات المتحدة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الجهة التي نُسب إليها الاغتيال Context triple: [عماد فايز مغنية, الجهة التي نُسب إليها الاغتيال, الولايات المتحدة]
-
A.
relatedAssassination
Indicates a relationship where one entity is connected to, involved in, or associated with an assassination event concerning another entity.
-
B.
assassinationOrganizedBy
chosen
Indicates that an assassination was planned, directed, or coordinated by a particular agent or organization.
-
C.
locatedInTheAdministrativeTerritorialEntityDuringAssassination
Indicates that an assassination took place while the subject was situated within a specified administrative territorial entity (such as a city, region, or country).
-
D.
wasAssassinationTarget
Indicates that an entity was the intended victim or objective of an assassination attempt.
-
E.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62549039c8190af7159d07416c985 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:24 a.m.