Triple
T38217552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynx Wildcat |
E1010725
|
entity |
| Predicate | armyVariantDesignation |
P95927
|
FINISHED |
| Object | AH1 |
—
|
NE NERFINISHED |
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: AH1 | Statement: [Lynx Wildcat, armyVariantDesignation, AH1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armyVariantDesignation Context triple: [Lynx Wildcat, armyVariantDesignation, AH1]
-
A.
isMilitaryVariantOf
Indicates that one entity is a military-specific version or adaptation of another, typically civilian or general-purpose, entity.
-
B.
usArmyDesignation
chosen
Indicates the specific designation or code assigned to something by the United States Army.
-
C.
airForceVariant
Indicates that one entity is a version or model of something specifically adapted for use by an air force.
-
D.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
E.
armedVariants
Indicates that one entity is a version or model of another that is equipped with weapons or enhanced armaments.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.