Triple
T2058833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decennial United States Census |
E45738
|
entity |
| Predicate | geographicOutputUnits |
P9569
|
FINISHED |
| Object | states |
—
|
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: states | Statement: [Decennial United States Census, geographicOutputUnits, states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicOutputUnits Context triple: [Decennial United States Census, geographicOutputUnits, states]
-
A.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
mapsToGeopoliticalEntity
chosen
Indicates a relationship where something is associated with, corresponds to, or is assigned to a specific geopolitical entity such as a country, region, or territory.
-
C.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
D.
betweenSubnationalUnits
Indicates a relationship that occurs or holds between two or more subnational administrative units (such as states, provinces, or regions) within a country.
-
E.
geographicDistribution
Indicates the spatial range or area over which something occurs, exists, or is found.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.