Triple
T7935562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York's 5th congressional district |
E184279
|
entity |
| Predicate | boundaryIncludes |
P57389
|
FINISHED |
| Object | parts of southeastern Queens |
—
|
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: parts of southeastern Queens | Statement: [New York's 5th congressional district, boundaryIncludes, parts of southeastern Queens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boundaryIncludes Context triple: [New York's 5th congressional district, boundaryIncludes, parts of southeastern Queens]
-
A.
boundaryBetween
Indicates that something serves as a dividing line or limit separating two distinct regions, areas, or entities.
-
B.
isBoundaryFor
Indicates that one entity serves as the limiting edge, border, or enclosing extent that defines the spatial or conceptual bounds of another entity.
-
C.
borderRegionsInclude
chosen
Indicates that the specified border area encompasses or contains the referenced regions within its boundaries.
-
D.
boundaryIdentifiedWith
Indicates that the boundary of one entity is treated as equivalent to, or merged with, the boundary of another entity.
-
E.
borderDefinedBy
Indicates that the boundary or limit of one entity is determined, shaped, or delineated by another entity.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aec394081909a9569c02ac372af |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.