Triple
T269594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Camouflage Pattern |
E5600
|
entity |
| Predicate | phaseOutReason |
P9656
|
FINISHED |
| Object | operational ineffectiveness |
—
|
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: operational ineffectiveness | Statement: [Universal Camouflage Pattern, phaseOutReason, operational ineffectiveness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phaseOutReason Context triple: [Universal Camouflage Pattern, phaseOutReason, operational ineffectiveness]
-
A.
phase
Indicates that one entity is in a particular stage, step, or phase within a process, sequence, or lifecycle relative to another reference.
-
B.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
C.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
D.
decayMode
Indicates the specific process or pathway by which an unstable entity transforms or decays into other products.
-
E.
cancellationReason
Indicates the reason or cause for which a previously scheduled or planned action, event, or agreement was canceled.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25db00ed48190be6f598807265356 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d6ec9688190b2ba027756b57d25 |
completed | Feb. 28, 2026, 3:13 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.