Triple
T78850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ich bin ein Berliner speech |
E1580
|
entity |
| Predicate | hasAftermath |
P812
|
FINISHED |
| Object | strengthened morale in West Berlin |
—
|
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: strengthened morale in West Berlin | Statement: [Ich bin ein Berliner speech, hasAftermath, strengthened morale in West Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAftermath Context triple: [Ich bin ein Berliner speech, hasAftermath, strengthened morale in West Berlin]
-
A.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
B.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
C.
hasLifecycleRitual
Indicates that an entity is associated with a ritual or ceremonial practice marking a significant stage or transition in its lifecycle.
-
D.
hasPunishment
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
E.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eb126b48190b410b859c1be99aa |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.