Triple
T16720555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auxiliary Division |
E406335
|
entity |
| Predicate | uniformFeatures |
P5084
|
FINISHED |
| Object | khaki military-style clothing |
—
|
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: khaki military-style clothing | Statement: [Auxiliary Division, uniformFeatures, khaki military-style clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformFeatures Context triple: [Auxiliary Division, uniformFeatures, khaki military-style clothing]
-
A.
dynamicFeatures
Indicates that an entity possesses or supports features whose presence, behavior, or configuration can change at runtime or in response to varying conditions.
-
B.
typicalFeatures
chosen
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
combinesFeaturesOf
Indicates that one entity integrates or merges characteristics, attributes, or functionalities originating from multiple other entities.
-
E.
featuresMode
Indicates that one entity operates in, supports, or is characterized by a particular mode or configuration specified by another entity.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874270748190ad7c3b3531293b60 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.