Triple
T25669945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Belt region |
E643638
|
entity |
| Predicate | usedAsConceptBy |
P133007
|
FINISHED |
| Object | sociologists studying race and poverty in the South |
—
|
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: sociologists studying race and poverty in the South | Statement: [Black Belt region, usedAsConceptBy, sociologists studying race and poverty in the South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsConceptBy Context triple: [Black Belt region, usedAsConceptBy, sociologists studying race and poverty in the South]
-
A.
usedInConcept
Indicates that something (such as a method, idea, or component) is employed as part of, or plays a role within, a particular concept.
-
B.
hasConceptualUse
chosen
Indicates that one entity is used or applied in a conceptual, abstract, or theoretical way by another entity.
-
C.
usesConceptIdentifier
Indicates that one entity refers to or operates with a specific concept by means of its unique identifier.
-
D.
isConceptualizedAs
Indicates that one entity is mentally represented, interpreted, or understood in terms of another entity.
-
E.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 21, 2026, 7:25 p.m.