Triple
T15588371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Commission against Racism |
E374679
|
entity |
| Predicate | raisesAwarenessOn |
P66866
|
FINISHED |
| Object | racism |
—
|
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: racism | Statement: [Federal Commission against Racism, raisesAwarenessOn, racism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisesAwarenessOn Context triple: [Federal Commission against Racism, raisesAwarenessOn, racism]
-
A.
awareness
Indicates that an entity has conscious knowledge, perception, or understanding of another entity, situation, or fact.
-
B.
containsAwarenessEvent
Indicates that an entity includes or encompasses an event in which awareness, perception, or conscious recognition occurs.
-
C.
aimsToRaiseAwarenessOf
chosen
Indicates that an entity undertakes actions or efforts with the purpose of increasing others’ knowledge, concern, or recognition of a particular issue, topic, or situation.
-
D.
raisedWhen
Indicates that one event, condition, or signal occurs or is triggered in response to another specific event or situation.
-
E.
raisedOn
Indicates that an entity was nurtured, brought up, or spent its formative period in a particular place, environment, or context.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.