Triple
T24870762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanchester’s laws of combat |
E622417
|
entity |
| Predicate | linearLawProperty |
P134722
|
FINISHED |
| Object | combat power proportional to force size |
—
|
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: combat power proportional to force size | Statement: [Lanchester’s laws of combat, linearLawProperty, combat power proportional to force size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linearLawProperty Context triple: [Lanchester’s laws of combat, linearLawProperty, combat power proportional to force size]
-
A.
linearLawAppliesTo
Indicates that a specific linear law or linear relationship is applicable to, or governs, the referenced entity or situation.
-
B.
linearity
Indicates that a relationship between quantities preserves addition and scalar multiplication, so outputs change in direct proportion to inputs.
-
C.
proportionLaw
chosen
Indicates that one quantity stands in a proportional relationship to another according to a specific law or rule governing how their values scale together.
-
D.
coefficientProperty
Indicates a relationship where one entity serves as a coefficient or scalar factor that quantitatively modifies or characterizes another entity or property.
-
E.
isLinear
Indicates that a relationship, function, or structure preserves linearity, typically meaning it satisfies additivity and homogeneity (or forms a straight-line dependence between variables).
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:23 a.m.