Triple
T16740438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangladesh Armed Forces |
E406819
|
entity |
| Predicate | primaryOperationalEnvironment |
P9320
|
FINISHED |
| Object | land |
—
|
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: land | Statement: [Bangladesh Armed Forces, primaryOperationalEnvironment, land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOperationalEnvironment Context triple: [Bangladesh Armed Forces, primaryOperationalEnvironment, land]
-
A.
primaryOperatingEnvironment
chosen
Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
-
B.
appliesToOperationalEnvironment
Indicates that something (such as a rule, requirement, or condition) is relevant to, valid in, or specifically intended for a particular operational environment.
-
C.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
-
D.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
E.
operationalNature
Indicates the functional or practical manner in which an entity, process, or system operates or carries out its activities.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3d4fa48190b0db8f10a39d3ad8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.