Triple
T28526179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic XF-103 |
E721909
|
entity |
| Predicate | weaponsSystemType |
P89527
|
FINISHED |
| Object | guided missile interceptor (planned) |
—
|
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: guided missile interceptor (planned) | Statement: [Republic XF-103, weaponsSystemType, guided missile interceptor (planned)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponsSystemType Context triple: [Republic XF-103, weaponsSystemType, guided missile interceptor (planned)]
-
A.
weaponSystemType
chosen
Indicates the specific category or kind of weapon system associated with an entity.
-
B.
weaponSystemAssociatedWith
Indicates that one entity is functionally or organizationally connected to a particular weapon system, such as by using, supporting, or being part of that system.
-
C.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
-
D.
weaponTypeTested
Indicates that a specific type of weapon has been subjected to a test or evaluation in the described context.
-
E.
opposingWeaponSystem
Indicates that one weapon system is designed, used, or configured to counter, neutralize, or operate in direct opposition to another weapon system.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 3:24 a.m.