Triple
T8753770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fallon Range Training Complex |
E208023
|
entity |
| Predicate | primaryTrainingFocus |
P85197
|
FINISHED |
| Object | air-to-ground weapons delivery |
—
|
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: air-to-ground weapons delivery | Statement: [Fallon Range Training Complex, primaryTrainingFocus, air-to-ground weapons delivery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTrainingFocus Context triple: [Fallon Range Training Complex, primaryTrainingFocus, air-to-ground weapons delivery]
-
A.
primaryProgram
Indicates that one entity serves as the main or principal program associated with another entity, distinguishing it from any secondary or auxiliary programs.
-
B.
primarySchool
Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
primaryClass
Indicates that one entity is the main or principal classification category to which another entity belongs.
-
E.
primary
Indicates that the referenced entity is the main or most important one among a set of related entities.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd714dc8190bccc4d52f988958d |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:39 p.m.