Triple
T15553495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM SIGMOD awards committee |
E370809
|
entity |
| Predicate | responsibleForAwardType |
P119149
|
FINISHED |
| Object | research awards in database systems |
—
|
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: research awards in database systems | Statement: [ACM SIGMOD awards committee, responsibleForAwardType, research awards in database systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responsibleForAwardType Context triple: [ACM SIGMOD awards committee, responsibleForAwardType, research awards in database systems]
-
A.
appliesToAwardType
Indicates that a rule, condition, or attribute is specifically relevant or applicable to a particular type or category of award.
-
B.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
C.
qualificationAwardedBy
Indicates that a particular qualification was granted or conferred by a specific awarding body or institution.
-
D.
hasAwardingBodyType
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
E.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
- F. None of above. chosen
Provenance (4 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.