Triple
T12605925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukrainian Galician Army |
E300977
|
entity |
| Predicate | peakSize |
P105664
|
FINISHED |
| Object | about 100000 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 100000 soldiers | Statement: [Ukrainian Galician Army, peakSize, about 100000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakSize Context triple: [Ukrainian Galician Army, peakSize, about 100000 soldiers]
-
A.
shareSize
Indicates that two or more entities possess or are allocated the same quantity, dimension, or magnitude of something.
-
B.
peakUse
Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
-
C.
peakType
Indicates the specific classification or category of a peak based on its form, prominence, or other defining characteristics.
-
D.
peakApproximateMa
Indicates that one entity’s peak value is approximately equal to another entity’s peak value.
-
E.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95590a5e08190842b988531cf2921 |
completed | April 10, 2026, 7:54 p.m. |
Created at: April 9, 2026, 5:10 p.m.