Triple
T36824383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shamir Government |
E909969
|
entity |
| Predicate | securityEventContext |
P2978
|
FINISHED |
| Object | post-1967 occupation of West Bank and Gaza Strip |
—
|
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: post-1967 occupation of West Bank and Gaza Strip | Statement: [Shamir Government, securityEventContext, post-1967 occupation of West Bank and Gaza Strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityEventContext Context triple: [Shamir Government, securityEventContext, post-1967 occupation of West Bank and Gaza Strip]
-
A.
securityIncidents
Indicates that one or more security-related breaches, threats, or violations have occurred involving the referenced entities.
-
B.
securityContext
chosen
Indicates the security-related settings or constraints under which an action, process, or interaction is performed.
-
C.
safetyContext
Indicates the circumstances, conditions, or environment that affect how safe an action, object, or situation is.
-
D.
hasSecurityEvent
Indicates that a security-related incident or event is associated with, or has occurred for, a given entity.
-
E.
eventContext
Indicates the situational or background circumstances (such as time, place, conditions, or surrounding events) within which a particular event occurs or is interpreted.
- 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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:13 p.m.