Triple
T3636521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jewish Combat Organization |
E77080
|
entity |
| Predicate | primaryEnemyPolicyOpposed |
P437
|
FINISHED |
| Object | Nazi extermination of Jews |
—
|
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: Nazi extermination of Jews | Statement: [Jewish Combat Organization, primaryEnemyPolicyOpposed, Nazi extermination of Jews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEnemyPolicyOpposed Context triple: [Jewish Combat Organization, primaryEnemyPolicyOpposed, Nazi extermination of Jews]
-
A.
primaryEnemy
Indicates that one entity is the main or most significant adversary or opponent of another entity.
-
B.
primaryEnemyForces
Indicates that the related entities constitute the main opposing or hostile forces in a conflict or competitive situation.
-
C.
primaryAdversaryDirection
Indicates the direction from an entity toward its main or most significant adversary.
-
D.
primaryOpposingCountry
Indicates that one country is the main or principal adversary or opponent of another country in a conflict, rivalry, or opposition.
-
E.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3278bb8819098bbeac023410111 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb842be7c8190b7dfdb7c906f294c |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.