Triple
T23868766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Soth |
E592660
|
entity |
| Predicate | primaryRegionDepicted |
P154254
|
FINISHED |
| Object | American 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: American Midwest | Statement: [Alec Soth, primaryRegionDepicted, American Midwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRegionDepicted Context triple: [Alec Soth, primaryRegionDepicted, American Midwest]
-
A.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
B.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
- F. None of above. chosen
Provenance (4 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae643448190863c44df5f026482 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:14 p.m.