Triple
T12998409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbaeen pilgrimage |
E322102
|
entity |
| Predicate | hasSecurityConcerns |
P25437
|
FINISHED |
| Object | risk of terrorist attacks |
—
|
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: risk of terrorist attacks | Statement: [Arbaeen pilgrimage, hasSecurityConcerns, risk of terrorist attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityConcerns Context triple: [Arbaeen pilgrimage, hasSecurityConcerns, risk of terrorist attacks]
-
A.
hasSecurityConsideration
chosen
Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
-
B.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
-
C.
hasSecuritySignificance
Indicates that something possesses importance or impact in the context of security, such as affecting safety, protection, or risk levels.
-
D.
relatedSecurity
Indicates that one security has a defined relationship or association with another security, such as dependency, linkage, or relevance.
-
E.
hasSecurityNotion
Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:46 p.m.