Triple
T27295230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West North Central United States |
E688742
|
entity |
| Predicate | CensusRegionName |
P5151
|
FINISHED |
| Object | Midwest |
—
|
NE NERFINISHED |
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: Midwest | Statement: [West North Central United States, CensusRegionName, Midwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CensusRegionName Context triple: [West North Central United States, CensusRegionName, Midwest]
-
A.
censusRegion
chosen
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
-
B.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
C.
countyRegion
Indicates that a county is located within, or is administratively part of, a larger geographic region.
-
D.
regionOfState
Indicates that one administrative or geographical region is a subdivision or part of a larger state.
-
E.
demographicRegion
Indicates that an entity is associated with, belongs to, or is characterized by a particular geographic or administrative region for demographic purposes.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6277f37208190a33476a7a3bddec6 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:18 a.m.