Triple
T2336717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 21st Panzer Division |
E44326
|
entity |
| Predicate | actionOnD-Day |
P35485
|
FINISHED |
| Object | counterattacked Allied bridgehead near Caen |
—
|
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: counterattacked Allied bridgehead near Caen | Statement: [21st Panzer Division, actionOnD-Day, counterattacked Allied bridgehead near Caen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionOnD-Day Context triple: [21st Panzer Division, actionOnD-Day, counterattacked Allied bridgehead near Caen]
-
A.
action
Indicates that an entity performs, carries out, or engages in a particular activity or deed in relation to another entity or context.
-
B.
numberOfDaysOfWar
Indicates the total count of days during which a state of war or active armed conflict persists.
-
C.
SovietAction
Indicates actions, policies, or interventions carried out by the Soviet Union or its authorities toward another entity.
-
D.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
E.
militaryActivity
chosen
Indicates that an entity is engaged in, associated with, or affected by actions, operations, or preparations conducted by armed forces.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.