Triple
T25177219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thin Red Line |
E630480
|
entity |
| Predicate | forceRatio |
P157526
|
FINISHED |
| Object | small British infantry force vs larger Russian cavalry force |
—
|
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: small British infantry force vs larger Russian cavalry force | Statement: [The Thin Red Line, forceRatio, small British infantry force vs larger Russian cavalry force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forceRatio Context triple: [The Thin Red Line, forceRatio, small British infantry force vs larger Russian cavalry force]
-
A.
forceRatio
chosen
Indicates the proportional relationship between two forces, expressing how many times larger or smaller one force is compared to another.
-
B.
forceDirection
Indicates the direction in which a force is applied or exerted in the relationship between entities.
-
C.
forceSize
Indicates a relationship where one entity specifies or constrains the magnitude or size of a force associated with another entity.
-
D.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
E.
forceBalance
Indicates that the net forces acting on an entity or system are in equilibrium, resulting in no overall acceleration.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc1ddd0819089722f45adc50d84 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:34 p.m.