Triple
T30886758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consolidated Model 14 Husky |
E786787
|
entity |
| Predicate | intendedOperatingEnvironment |
P9320
|
FINISHED |
| Object | unprepared airstrips |
—
|
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: unprepared airstrips | Statement: [Consolidated Model 14 Husky, intendedOperatingEnvironment, unprepared airstrips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedOperatingEnvironment Context triple: [Consolidated Model 14 Husky, intendedOperatingEnvironment, unprepared airstrips]
-
A.
appliesToOperationalEnvironment
Indicates that something (such as a rule, requirement, or condition) is relevant to, valid in, or specifically intended for a particular operational environment.
-
B.
primaryOperatingEnvironment
chosen
Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
-
C.
intendedSystem
Indicates that one entity is the target or designated system for which another entity is designed, directed, or meant to operate.
-
D.
systemOperatesOn
Indicates that a system performs operations, actions, or processing directly on a specified target or resource.
-
E.
programEnvironment
Indicates the contextual setting, conditions, and resources within which a program operates or is executed.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 29, 2026, 8:49 p.m.