Triple
T38241288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden Heights |
E1013766
|
entity |
| Predicate | populationCharacterization |
P299
|
FINISHED |
| Object | predominantly Black |
—
|
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: predominantly Black | Statement: [Garden Heights, populationCharacterization, predominantly Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCharacterization Context triple: [Garden Heights, populationCharacterization, predominantly Black]
-
A.
populationPattern
Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
-
B.
demographicsCharacteristic
chosen
Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
-
C.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
D.
populationDensityCharacteristic
Indicates a relationship where a population density value is treated as a defining or notable characteristic of an entity.
-
E.
populationCondition
Indicates the state, status, or characteristics of a population under certain specified conditions or constraints.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:30 p.m.