Triple
T21220894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AL-07 |
E522961
|
entity |
| Predicate | hasHighAfricanAmericanPopulationShare |
P62280
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [AL-07, hasHighAfricanAmericanPopulationShare, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighAfricanAmericanPopulationShare Context triple: [AL-07, hasHighAfricanAmericanPopulationShare, true]
-
A.
hasSignificantPopulationGroup
Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
-
B.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
C.
hasIndigenousOrAfroDescendantGroup
Indicates that an entity is associated with, includes, or pertains to an Indigenous or Afro-descendant group.
-
D.
hasApproximateAfricanFrequency
Indicates that an entity occurs in Africa with a frequency that is estimated or approximate rather than precisely measured.
-
E.
racialComposition
chosen
Indicates the proportional makeup of different racial groups within a given population or entity.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73477957081908ab9ad11f51d15fd |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:43 p.m.