Triple
T609592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram Freiherr von Richthofen |
E12067
|
entity |
| Predicate | roleInSpanishCivilWar |
P17064
|
FINISHED |
| Object | air commander with the Condor Legion |
—
|
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: air commander with the Condor Legion | Statement: [Wolfram Freiherr von Richthofen, roleInSpanishCivilWar, air commander with the Condor Legion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSpanishCivilWar Context triple: [Wolfram Freiherr von Richthofen, roleInSpanishCivilWar, air commander with the Condor Legion]
-
A.
commanderForSpain
Indicates that a person serves or has served as a military commander on behalf of Spain.
-
B.
worldWarIIRole
Indicates the specific role, position, or function an entity had in relation to World War II.
-
C.
roleAtStalingrad
Indicates the specific role, position, or function an entity held in relation to the Battle of Stalingrad.
-
D.
enemyDuringWar
Indicates that one entity is an enemy of another specifically in the context of a particular war or armed conflict.
-
E.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df68f2c8190a0ee9da4692b2a62 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.