Triple
T34785171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Defense |
E1002784
|
entity |
| Predicate | evaluationAtTopLevel |
P91138
|
FINISHED |
| Object | approximately equal for both sides |
—
|
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: approximately equal for both sides | Statement: [Berlin Defense, evaluationAtTopLevel, approximately equal for both sides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationAtTopLevel Context triple: [Berlin Defense, evaluationAtTopLevel, approximately equal for both sides]
-
A.
hasTopLevel
Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
-
B.
evaluatedInContext
chosen
Indicates that an entity (such as a statement, result, or behavior) is assessed or interpreted within a specific contextual setting or framework.
-
C.
topLevelOf
Indicates that one entity is the highest or most overarching level within the structure or hierarchy of another entity.
-
D.
evaluatesAs
Indicates that one entity is judged, interpreted, or assessed as having a particular value, role, or classification in relation to another.
-
E.
evaluatesFor
Indicates that one entity assesses or judges something on behalf of, or for the benefit 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.