Triple
T22609068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Yellow Ford |
E566642
|
entity |
| Predicate | approximateEnglishStrength |
P2981
|
FINISHED |
| Object | around 4,000–5,000 men |
—
|
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: around 4,000–5,000 men | Statement: [Battle of the Yellow Ford, approximateEnglishStrength, around 4,000–5,000 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateEnglishStrength Context triple: [Battle of the Yellow Ford, approximateEnglishStrength, around 4,000–5,000 men]
-
A.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
B.
EnglishStrength
Indicates the degree or level of proficiency or capability in using the English language.
-
C.
approximateStrengthFrancoSpanish
Indicates an estimated or inferred level of strength or intensity in the relationship or interaction between Franco and Spanish entities.
-
D.
initialStrength
Indicates the original or starting level of strength associated with an entity before any changes or influences occur.
-
E.
approximateEnemyStrength
Indicates estimating the opposing side’s combat capabilities or power level, typically based on available but potentially incomplete information.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:56 p.m.