Triple
T24395600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 25th Rifle Division |
E615018
|
entity |
| Predicate | hasSniper |
P156046
|
FINISHED |
| Object | Lyudmila Pavlichenko |
—
|
NE NERFINISHED |
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: Lyudmila Pavlichenko | Statement: [25th Rifle Division, hasSniper, Lyudmila Pavlichenko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSniper Context triple: [25th Rifle Division, hasSniper, Lyudmila Pavlichenko]
-
A.
hasCannon
Indicates that one entity is equipped with, contains, or features a cannon.
-
B.
hasFiringRange
Indicates that one entity possesses or provides a designated area or capability for discharging weapons over a specified distance.
-
C.
hasMuzzle
Indicates that one entity possesses or is equipped with a muzzle, typically as a restraining or protective device.
-
D.
hasInsurgentsArmament
Indicates that an entity possesses or is supplied with weapons, equipment, or armaments used by insurgent forces.
-
E.
hasBarrelLongerThan
Indicates that one entity’s barrel length is greater than that of another entity.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d69b5c81908cf6143374934f5c |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:04 a.m.