Triple
T22639807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewing, Missouri |
E558790
|
entity |
| Predicate | racialMakeupCensus2010 |
P62280
|
FINISHED |
| Object | predominantly White |
—
|
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 White | Statement: [Ewing, Missouri, racialMakeupCensus2010, predominantly White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racialMakeupCensus2010 Context triple: [Ewing, Missouri, racialMakeupCensus2010, predominantly White]
-
A.
racialComposition
chosen
Indicates the proportional makeup of different racial groups within a given population or entity.
-
B.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
-
C.
populationTotal2010
Indicates the total number of individuals in a population as measured or recorded for the year 2010.
-
D.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
-
E.
ethnicGroupSize
Indicates the number of individuals belonging to a particular ethnic group within a specified population or context.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17010aa4c8190a9f0cf7eb4c066cd |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:04 p.m.