Triple
T1160262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheme |
E24474
|
entity |
| Predicate | scopeType |
P25607
|
FINISHED |
| Object | lexical scope |
—
|
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: lexical scope | Statement: [Scheme, scopeType, lexical scope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeType Context triple: [Scheme, scopeType, lexical scope]
-
A.
scopeDefinedBy
Indicates that the extent or boundaries of one entity’s applicability, influence, or validity are determined or constrained by another entity.
-
B.
scopeDetail
Indicates a more specific or refined characterization of the extent, boundaries, or coverage of something within a broader scope.
-
C.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
-
D.
identificationScope
Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
-
E.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.