Triple
T15583004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Acheloos (917) |
E374545
|
entity |
| Predicate | approximateBulgarianStrength |
P2981
|
FINISHED |
| Object | tens of thousands of troops |
—
|
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: tens of thousands of troops | Statement: [Battle of Acheloos (917), approximateBulgarianStrength, tens of thousands of troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateBulgarianStrength Context triple: [Battle of Acheloos (917), approximateBulgarianStrength, tens of thousands of troops]
-
A.
strengthBulgaria
Indicates a relationship where something possesses or demonstrates strength specifically associated with Bulgaria.
-
B.
nameInBulgarian
Indicates that an entity is referred to by a specific name when expressed in the Bulgarian language.
-
C.
approximateStrengthFrancoBavarian
Indicates an estimated or inferred degree of strength or intensity in the Franco-Bavarian relationship or interaction.
-
D.
approximateGallicStrength
Indicates an estimation or rough calculation of the level or magnitude of Gallic strength in a given context.
-
E.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.