Triple
T10597308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hafid Ridge |
E250147
|
entity |
| Predicate | weaponSystemsEmployed |
P89527
|
FINISHED |
| Object | anti-tank guns |
—
|
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: anti-tank guns | Statement: [Hafid Ridge, weaponSystemsEmployed, anti-tank guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponSystemsEmployed Context triple: [Hafid Ridge, weaponSystemsEmployed, anti-tank guns]
-
A.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
-
B.
weaponSystemType
chosen
Indicates the specific category or kind of weapon system associated with an entity.
-
C.
referredAircraftArmament
Indicates that one aircraft’s armament is being referenced or pointed to in relation to another entity or context.
-
D.
enemyMilitaryAsset
Indicates that one entity is a military asset belonging to or controlled by an enemy force relative to the other entity.
-
E.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278e5d5481908f4e19c52bd80327 |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d5190a6dfc819088262957551808a1 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:41 p.m.