Triple
T2104170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford–Stuyvesant |
E37154
|
entity |
| Predicate | sawMajorDemographicChangeDuring |
P19590
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Bedford–Stuyvesant, sawMajorDemographicChangeDuring, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawMajorDemographicChangeDuring Context triple: [Bedford–Stuyvesant, sawMajorDemographicChangeDuring, 20th century]
-
A.
yearOfMajorMigration
Indicates the specific year in which a significant migration event involving the subject took place.
-
B.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
C.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
D.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
E.
historicalPopulationMovement
chosen
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabf7cdc81909636dff34badc1c5 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.