Triple
T19875582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shebaa Farms |
E477626
|
entity |
| Predicate | securityIncidents |
P137671
|
FINISHED |
| Object | frequent site of cross-border skirmishes |
—
|
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 site of cross-border skirmishes | Statement: [Shebaa Farms, securityIncidents, frequent site of cross-border skirmishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityIncidents Context triple: [Shebaa Farms, securityIncidents, frequent site of cross-border skirmishes]
-
A.
securityAttention
Indicates that an entity is the focus of monitoring, concern, or scrutiny from a security perspective.
-
B.
securityCollaboration
Indicates a cooperative relationship in which entities work together to plan, implement, or maintain security measures, policies, or defenses.
-
C.
relatedSecurity
Indicates that one security has a defined relationship or association with another security, such as dependency, linkage, or relevance.
-
D.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
E.
notableProtectiveIncident
Indicates that a significant event occurred in which one entity protected or defended another in a notable or remarkable way.
- F. None of above. chosen
Provenance (4 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658db058c8190b7bf0b003ead5bfc |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.