Triple
T8339587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammed Deif |
E195875
|
entity |
| Predicate | securityPractice |
P3815
|
FINISHED |
| Object | frequent movement between safe houses |
—
|
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: frequent movement between safe houses | Statement: [Mohammed Deif, securityPractice, frequent movement between safe houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityPractice Context triple: [Mohammed Deif, securityPractice, frequent movement between safe houses]
-
A.
securityProgram
Indicates that an entity is associated with, participates in, or is governed by a security program, such as a set of policies, controls, or initiatives related to safety or protection.
-
B.
security
Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
-
C.
securityRecommendation
Indicates that one entity advises or prescribes specific security-related actions, settings, or measures for another entity.
-
D.
securityAspect
chosen
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
-
E.
securityAdvisory
Indicates a relationship where an entity issues, references, or is associated with a warning or guidance about security vulnerabilities, risks, or protective measures.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.