Triple
T3450791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGKDD Service Award |
E72788
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | ACM SIGKDD awards |
E72788
|
NE 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: ACM SIGKDD awards | Statement: [SIGKDD Service Award, partOf, ACM SIGKDD awards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM SIGKDD awards Context triple: [SIGKDD Service Award, partOf, ACM SIGKDD awards]
-
A.
SIGKDD Service Award
chosen
The SIGKDD Service Award is a prestigious annual honor recognizing individuals who have made exceptional contributions to the data mining and knowledge discovery community through dedicated professional service and leadership.
-
B.
SIGKDD Innovation Award
The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.
-
C.
SIGKDD
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
-
D.
KDD
KDD is the commonly used abbreviation for Norway’s Ministry of Local Government and Regional Development, a government body responsible for municipal affairs, regional policy, and housing.
-
E.
IEEE International Conference on Data Mining
The IEEE International Conference on Data Mining is a leading annual research conference that focuses on advances in data mining, machine learning, and knowledge discovery in databases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7324508190b07943cec3ecdb59 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367fc4e8c81909fb57634113369fa |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:16 p.m.