Triple
T30860881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Front of World War II |
E786057
|
entity |
| Predicate | frontOpposedTo |
P27285
|
FINISHED |
| Object | Eastern Front of World War II |
—
|
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: Eastern Front of World War II | Statement: [Western Front of World War II, frontOpposedTo, Eastern Front of World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontOpposedTo Context triple: [Western Front of World War II, frontOpposedTo, Eastern Front of World War II]
-
A.
frontAgainst
Indicates that one entity is positioned with its front side directly facing or pressed against the surface or side of another entity.
-
B.
positionOpposed
Indicates that two entities hold positions or stances that are in direct conflict or opposition to each other.
-
C.
opposedFocus
Indicates that one entity’s focus, attention, or emphasis is directed in opposition to, or in contrast with, the focus of another entity.
-
D.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
E.
hasOpposingFront
chosen
Indicates that one entity’s front side is directly facing or oriented opposite to the front side 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:47 p.m.