Triple
T22406443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Mons Graupius |
E553890
|
entity |
| Predicate | estimatedCaledonianStrength |
P73522
|
FINISHED |
| Object | c. 30,000 warriors |
—
|
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: c. 30,000 warriors | Statement: [Battle of Mons Graupius, estimatedCaledonianStrength, c. 30,000 warriors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedCaledonianStrength Context triple: [Battle of Mons Graupius, estimatedCaledonianStrength, c. 30,000 warriors]
-
A.
approximateGallicStrength
Indicates an estimation or rough calculation of the level or magnitude of Gallic strength in a given context.
-
B.
estimatedStrength
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
C.
estimatedWarriors
chosen
Indicates an approximate or inferred count of warriors associated with a given entity or context.
-
D.
estimatedRomanForces
Indicates that a specified quantity represents an estimate of the size or strength of Roman military forces involved in a particular context or event.
-
E.
approximateRebelStrength
Indicates an estimation of the size or capability of rebel forces rather than an exact measured strength.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b835e88190a388e19577df771e |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.