Triple
T24018834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem metropolitan area |
E594759
|
entity |
| Predicate | populationRegionFor |
P10611
|
FINISHED |
| Object | Salem, Oregon area |
—
|
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: Salem, Oregon area | Statement: [Salem metropolitan area, populationRegionFor, Salem, Oregon area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRegionFor Context triple: [Salem metropolitan area, populationRegionFor, Salem, Oregon area]
-
A.
populationRegion
chosen
Indicates that a specified population is located within or associated with a particular geographic region.
-
B.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
C.
populationRegionType
Indicates the type or category of region (e.g., city, state, country) to which a given population value or statistic applies.
-
D.
demographicRegion
Indicates that an entity is associated with, belongs to, or is characterized by a particular geographic or administrative region for demographic purposes.
-
E.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a7b5848190849e7a0f035465b3 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.