Triple
T35041434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saraya al-Salam |
E1011079
|
entity |
| Predicate | armedCapabilities |
P2859
|
FINISHED |
| Object | light and medium weapons |
—
|
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: light and medium weapons | Statement: [Saraya al-Salam, armedCapabilities, light and medium weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armedCapabilities Context triple: [Saraya al-Salam, armedCapabilities, light and medium weapons]
-
A.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
-
B.
warfareCapability
chosen
Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
-
C.
armamentCategory
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
-
D.
armamentIncludes
Indicates that a larger weapon system, vehicle, or platform has a specified weapon or piece of equipment as part of its armament.
-
E.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.