Triple
T30905349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Almansa |
E787282
|
entity |
| Predicate | approximateStrengthBourbon |
P196152
|
FINISHED |
| Object | about 25,000–30,000 soldiers |
—
|
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: about 25,000–30,000 soldiers | Statement: [Battle of Almansa, approximateStrengthBourbon, about 25,000–30,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStrengthBourbon Context triple: [Battle of Almansa, approximateStrengthBourbon, about 25,000–30,000 soldiers]
-
A.
alcoholByVolumeApprox
Indicates an approximate measurement of the proportion of alcohol by volume contained in a beverage or liquid.
-
B.
isAmericanWhiskey
Indicates that one entity is a whiskey that originates from, and is produced in accordance with the regulations of, the United States.
-
C.
bottlingStrengthRange
Indicates the range of alcohol strengths at which a beverage is bottled.
-
D.
grainSpiritType
Indicates the specific type or category of spirit distilled from a given grain.
-
E.
isStraightWhiskey
Indicates that a whiskey is classified as straight whiskey, meaning it meets specific legal standards for production, aging, and purity without significant additives.
- F. None of above. chosen
Provenance (4 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
| PDg | Predicate description generation | batch_69fe0d14778c8190986fa4f37f992a2f |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 29, 2026, 8:50 p.m.