Triple
T6673772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM Members-at-Large |
E151798
|
entity |
| Predicate | scopeOfRepresentation |
P31178
|
FINISHED |
| Object | broad ACM membership interests |
—
|
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: broad ACM membership interests | Statement: [ACM Members-at-Large, scopeOfRepresentation, broad ACM membership interests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfRepresentation Context triple: [ACM Members-at-Large, scopeOfRepresentation, broad ACM membership interests]
-
A.
sectorRepresented
chosen
Indicates that an entity serves as a representative or proxy for a particular sector (such as an industry, domain, or market segment).
-
B.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
C.
scopeOfReference
Indicates the range or domain of things, concepts, or entities to which a reference, statement, or expression applies.
-
D.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
-
E.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.