Triple
T24070577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau places in New York |
E596213
|
entity |
| Predicate | spatialHierarchyLevel |
P76575
|
FINISHED |
| Object | place |
—
|
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: place | Statement: [United States Census Bureau places in New York, spatialHierarchyLevel, place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spatialHierarchyLevel Context triple: [United States Census Bureau places in New York, spatialHierarchyLevel, place]
-
A.
spatialHierarchy
chosen
Indicates a spatial relationship in which one entity is positioned within, above, below, or otherwise hierarchically organized relative to another in physical space.
-
B.
hierarchyDepth
Indicates the level or distance of an entity from the top (root) within a hierarchical structure.
-
C.
ringHierarchyLevel
Indicates the position or rank of an entity within a structured ring-based hierarchy.
-
D.
levelStructure
Indicates that one entity defines or organizes the hierarchical or layered arrangement of another entity.
-
E.
spatialProperty
Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db17c99881909f97e858fb183d86 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.